International Business Machines Corporation

États‑Unis d’Amérique

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Type PI
        Brevet 61 744
        Marque 1 455
Juridiction
        États-Unis 53 213
        International 8 768
        Canada 941
        Europe 277
Propriétaire / Filiale
[Owner] International Business Machines Corporation 63 199
IBM United Kingdom Limited 4 415
IBM China Company Limited 587
IBM Deutschland GmbH 414
IBM Canada Limited 4
Date
Nouveautés (dernières 4 semaines) 333
2022 novembre (MACJ) 283
2022 octobre 231
2022 septembre 415
2022 août 224
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Classe IPC
G06F 17/30 - Recherche documentaire; Structures de bases de données à cet effet 4 304
H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole 4 058
H04L 29/08 - Procédure de commande de la transmission, p.ex. procédure de commande du niveau de la liaison 3 961
G06F 3/06 - Entrée numérique à partir de, ou sortie numérique vers des supports d'enregistrement 2 740
G06N 20/00 - Apprentissage automatique 2 699
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Classe NICE
09 - Appareils et instruments scientifiques et électriques 1 149
42 - Services scientifiques, technologiques et industriels, recherche et conception 1 033
35 - Publicité; Affaires commerciales 549
16 - Papier, carton et produits en ces matières 510
41 - Éducation, divertissements, activités sportives et culturelles 334
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Statut
En Instance 6 294
Enregistré / En vigueur 56 905
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1.

DATASET BALANCING VIA QUALITY-CONTROLLED SAMPLE GENERATION

      
Numéro d'application 17317922
Statut En instance
Date de dépôt 2021-05-12
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Tepper, Naama
  • Goldbraich, Esther
  • Carmeli, Boaz
  • Zwerdling, Naama
  • Kour, George
  • Anaby Tavor, Ateret

Abrégé

Balancing an imbalanced dataset, by: Receiving a balancing policy and the imbalanced dataset. Performing initial adjustment of the imbalanced dataset to comply with the balancing policy, by: oversampling one or more underrepresented classes, and, if one or more of the classes are overrepresented, undersampling them. Operating a generative machine learning model to generate samples for the one or more underrepresented classes, based on the initially-adjusted dataset. Operating a machine learning classification model to label the generated samples with class labels corresponding to the one or more underrepresented classes. Selecting some of the generated samples which, according to the labeling, have a relatively high probability of preserving their class labels. Composing a balanced dataset which complies with the balancing policy and comprises: the samples belonging to the one or more underrepresented classes, the selected generated samples, and an undersampling of the samples belonging to the one or more overrepresented classes.

Classes IPC  ?

2.

Low Resource Named Entity Recognition for Sensitive Personal Information

      
Numéro d'application 17324212
Statut En instance
Date de dépôt 2021-05-19
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Park, Youngja
  • Arora, Jatin

Abrégé

Natural language processing (NLP) methodologies and mechanisms are provided that include a named entity recognition (NER) computer model augmented to operate on an entity pattern embedding input feature in addition to other embedding input features. The mechanisms tokenize natural language content (NLC) to generate tokens and process a selected token in accordance with a predetermined entity pattern embedding technique to generate an entity pattern embedding input feature for the selected token. The entity pattern embedding input feature specifies a pattern of characters present in the selected token. The mechanisms process the NLC to generate the other embedding input features in accordance with other embedding techniques, and process, by the NER computer model, the other embedding input features and the entity pattern embedding input feature for the selected token to generate a predicted tag for the selected token. The predicted tag specifies a named entity type classification for the selected token.

Classes IPC  ?

  • G06F 40/295 - Reconnaissance de noms propres
  • G06F 40/284 - Analyse lexicale, p.ex. segmentation en unités ou cooccurrence
  • G06F 40/30 - Analyse sémantique
  • G06F 40/166 - Traitement de texte Édition, p.ex. insertion ou suppression
  • G06N 20/00 - Apprentissage automatique

3.

PREDICT VEHICLE MAINTENANCE BASED ON NAVIGATION ROUTE ROADWAY CHARACTERISTICS

      
Numéro d'application 17323314
Statut En instance
Date de dépôt 2021-05-18
Date de la première publication 2022-11-24
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Trim, Craig M.
  • Rakshit, Sarbajit K.
  • Ganci, Jr., John M.
  • Bostick, James E.
  • Keen, Martin G.

Abrégé

Embodiments for a method, computer system, and computer program product for vehicle maintenance prediction are provided. The embodiments may include receiving a course of a vehicle to navigate across a roadway. The embodiments may also include identifying one or more contextual changes as the vehicle navigates across the roadway. The embodiments may further include calculating an impact to vehicle maintenance due to vehicle traversal of the roadway based on the identified contextual changes. The embodiments may also include predicting a value associated with vehicle maintenance based on the calculated impact and the calculated cost.

Classes IPC  ?

  • G06Q 10/00 - Administration; Gestion
  • G06Q 30/02 - Marketing, p.ex. études et analyse de marchés, prospection, promotions, publicité, établissement du profil des acheteurs, gestion ou fidélisation de clientèle; Estimation ou détermination des prix

4.

APPLICATION PROGRAMMING INTERFACE MANAGEMENT

      
Numéro d'application 17324649
Statut En instance
Date de dépôt 2021-05-19
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Yuan, Yun Fei
  • Pan, Qun
  • Huang, Zhun
  • Meng, Xiang Juan
  • Wang, Cheng Fang

Abrégé

Embodiments of the present invention relate to a method, system and computer program product for application programming interface (API) management. According to the method, in response to a first response from an API provider indicating a failure of a first API request initiated by an API requestor, a second API request is generated at least based on the first API request. The second API request is transmitted to the API provider. A second response to the second API request is received from the API provider. A third response is provided to the API requestor based on the second response.

Classes IPC  ?

5.

DATA ACCESS PERFORMANCE IN A MEMORY

      
Numéro d'application 17327903
Statut En instance
Date de dépôt 2021-05-24
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Liu, Ming Ran
  • Tang, Xiao Yan
  • Zhang, Bao
  • Lu, Jing
  • Liu, Dong Hui
  • Jiang, Peng Hui
  • Yin, Yong
  • Yu, Jia

Abrégé

In an approach for improving data access performance in memory, a processor monitors each data access to a data element in the memory from an application, wherein the application has a plurality of functions. A processor records, during runtime, each data access into a monitoring element table, wherein the record for each data access includes an identity, a start address, an end address, and a memory page number. A processor clusters recorded data accesses for each function based on a distance between data elements accessed in sequence. A processor allocates, based on the data element clustering result, the data elements in a same cluster into a same memory unit in the memory.

Classes IPC  ?

  • G06F 9/30 - Dispositions pour exécuter des instructions machines, p.ex. décodage d'instructions
  • G06F 9/50 - Allocation de ressources, p.ex. de l'unité centrale de traitement [UCT]
  • G06F 9/54 - Communication interprogramme
  • G06F 12/02 - Adressage ou affectation; Réadressage

6.

DIFFERENTIABLE TEMPORAL POINT PROCESSES FOR SPIKING NEURAL NETWORKS

      
Numéro d'application 17307061
Statut En instance
Date de dépôt 2021-05-04
Date de la première publication 2022-11-24
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s) Kajino, Hiroshi

Abrégé

A method performs a Differentiable Point Process (DPP). Generate a first sample sk by sampling from a Poisson process with reference to an upper bound λ of a conditional intensity function representing the DPP given a first set of samples S. Determine whether sk>T, output a second set of samples and train a probabilistic model using when sk>T, and perform the next four steps (generate a second sample, add, add, update) and return to the first step (generate a first sample) when sk≤T, where T denotes an observation length. Generate a second sample A method performs a Differentiable Point Process (DPP). Generate a first sample sk by sampling from a Poisson process with reference to an upper bound λ of a conditional intensity function representing the DPP given a first set of samples S. Determine whether sk>T, output a second set of samples and train a probabilistic model using when sk>T, and perform the next four steps (generate a second sample, add, add, update) and return to the first step (generate a first sample) when sk≤T, where T denotes an observation length. Generate a second sample [ p k r k ] A method performs a Differentiable Point Process (DPP). Generate a first sample sk by sampling from a Poisson process with reference to an upper bound λ of a conditional intensity function representing the DPP given a first set of samples S. Determine whether sk>T, output a second set of samples and train a probabilistic model using when sk>T, and perform the next four steps (generate a second sample, add, add, update) and return to the first step (generate a first sample) when sk≤T, where T denotes an observation length. Generate a second sample [ p k r k ] by sampling from a concrete distribution with reference to a parameter of the distribution defined by the conditional intensity function and a temperature τ, given a second set of samples . Add a pair of sk and pk to and discard rk. Add sk to S. Update k to k+1.

Classes IPC  ?

  • G06N 3/08 - Méthodes d'apprentissage
  • G06N 3/04 - Architecture, p.ex. topologie d'interconnexion
  • G06N 7/00 - Systèmes de calculateurs basés sur des modèles mathématiques spécifiques

7.

ANOMALY DETECTION OF PHYSICAL ASSETS BY AUTO-CREATING ANOMALY DETECTION OR PREDICTION MODELS BASED ON DATA FROM A KNOWLEDGE GRAPH OF AN ENTERPRISE

      
Numéro d'application 17323501
Statut En instance
Date de dépôt 2021-05-18
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Adinarayan, Geetha
  • Ploennigs, Joern

Abrégé

Data from a knowledge graph associated with an enterprise may be obtained. The knowledge graph may include a plurality of node descriptors that indicate locations, assets, and sensor data feeds of the enterprise, and a plurality of relationship descriptors that indicate relationships amongst the locations, the assets, and the sensor data feeds of the enterprise. An anomaly detection or prediction model associated with a selected one of the plurality of node descriptors may be auto-created based on the data from the knowledge graph. In the auto-creation, one of a plurality of model types for the anomaly detection or prediction model may be selected based on an identified node type of the selected node descriptor.

Classes IPC  ?

  • G06Q 10/06 - Ressources, gestion de tâches, gestion d'hommes ou de projets, p.ex. organisation, planification, ordonnancement ou affectation de ressources en temps, hommes ou machines; Planification dans l'entreprise; Modèles organisationnels
  • G06N 5/02 - Représentation de la connaissance

8.

AUTOMATED DETERMINATION OF EXPLANATORY VARIABLES

      
Numéro d'application 17816901
Statut En instance
Date de dépôt 2022-08-02
Date de la première publication 2022-11-24
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Kobayashi, Hiromi
  • Sakamoto, Masaharu
  • Makino, Yasue
  • Kobayashi, Hirokazu

Abrégé

A determination is made of an explanatory variable with respect to an objective variable. A subset of data from data to be analyzed is created, in response to setting the objective variable to be analyzed to perform analysis. Association analysis is applied to analysis results, in response to a number of analysis runs exceeding a predetermined number. An association rule is derived for the explanatory variable from a result of the association analysis. An explanatory variable having a relevance value greater than a threshold value with the objective variable in the data to be analyzed is selected. The selected explanatory variable is scored as an input using the association rule to determine whether the explanatory variable is to be added or removed.

Classes IPC  ?

  • G06N 7/00 - Systèmes de calculateurs basés sur des modèles mathématiques spécifiques
  • G06N 20/20 - Techniques d’ensemble en apprentissage automatique
  • G06N 5/04 - Méthodes ou dispositifs inférents

9.

AUTOMATIC GENERATION OF GROUND RULE VERIFICATION MACROS

      
Numéro d'application 17303170
Statut En instance
Date de dépôt 2021-05-21
Date de la première publication 2022-11-24
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Lian, Jingyu
  • Venkateshan, Shruthi
  • Yamashita, Tenko
  • Liu, Jinning

Abrégé

Ground rule verification (“GRV”) design layouts may be automatically generated based on one or more design macros. The GRV design layout may be tested based on the one or more design macros by violating one or more ground rules using one or more GRV ranges. The testing may include electrical testing of the one or more GRV design layouts based on the one or more design macros. The one or more ground rules may be automatically selected and approved the based upon a degree of violation acceptability.

Classes IPC  ?

  • G06F 30/398 - Vérification ou optimisation de la conception, p.ex. par vérification des règles de conception [DRC], vérification de correspondance entre géométrie et schéma [LVS] ou par les méthodes à éléments finis [MEF]
  • G06F 30/392 - Conception de plans ou d’agencements, p.ex. partitionnement ou positionnement

10.

GENERATIVE EXPERIMENTS FOR APPLICATION DEPLOYMENT IN 5G NETWORKS

      
Numéro d'application 17326278
Statut En instance
Date de dépôt 2021-05-20
Date de la première publication 2022-11-24
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Srivatsa, Mudhakar
  • Verma, Dinesh C.
  • Sadagopan, Satish
  • Thomas, Mathews
  • Mangla, Utpal

Abrégé

A computer implemented method determines a placement of an application being added to a network. The method includes determining a logical-physical mapping for the application. Sub-graphs in the logical-physical mapping are identified. A stored application in a catalog of applications previously used in the network is located. The stored application includes one of the sub-graphs in the logical-physical mapping. An experiment is generated, performed by a computing device running a neural network model, using the sub-graphs. The experiment includes inducing a physical node mapping for the sub-graph. A cost function associated with a placement of the application being added to the network to one or more physical nodes in the induced physical node mapping is determined.

Classes IPC  ?

11.

SIGNING AND AUTHENTICATION OF DIGITAL IMAGES AND OTHER DATA ARRAYS

      
Numéro d'application 17326010
Statut En instance
Date de dépôt 2021-05-20
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Monney, Serge
  • Giovannini, Andrea
  • Ivankay, Adam

Abrégé

Computer-implemented methods and systems are provided for digitally signing predetermined arrays of digital data. Such a method may provide a secret neural network model trained to classify arrays of digital data in dependence on data content of the arrays. The array of the arrays may be signed by supplying the array to the secret neural network model to obtain an initial classification result; and effecting a modification of data in the array to change the initial classification result to a predetermined, secret classification result, the modification being effected via a backpropagation process in the secret neural network model to progressively modify the array in response to backpropagated errors dependent on a difference between a current classification result for the array and the secret classification result.

Classes IPC  ?

  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
  • G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
  • G06T 7/00 - Analyse d'image
  • G06T 1/00 - Traitement de données d'image, d'application générale
  • H04L 9/32 - Dispositions pour les communications secrètes ou protégées comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
  • G06N 3/08 - Méthodes d'apprentissage

12.

DYNAMICALLY ENHANCING A VIDEO BY AUTOMATICALLY GENERATING AND ADDING AN OVERLAY WINDOW

      
Numéro d'application 17303118
Statut En instance
Date de dépôt 2021-05-20
Date de la première publication 2022-11-24
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Lu, Cindy Han
  • Kostick, Megan
  • Brewer, Michael
  • Tran, Thai Quoc

Abrégé

A computer-implemented method for enhancing a video is provided. The method may include generating an annotation matrix comprising extracted video content associated with a video. The method may further include generating a viewer feedback matrix comprising extracted and aggregated viewer feedback, wherein the aggregated viewer feedback comprises a plurality of comments and viewer actions associated with the video, and wherein the plurality of comments appears as text that is located separate from a main window for playing the video. The method may further include generating an overlay matrix by merging the viewer feedback matrix and the annotation matrix. The method may further include generating at least one overlay window for overlaying in the main window of the video at the particular point in time during a playing of the video, wherein the at least one overlay window includes textual information generated from the aggregated viewer feedback.

Classes IPC  ?

  • H04N 21/431 - Génération d'interfaces visuelles; Rendu de contenu ou données additionnelles
  • H04N 21/45 - Opérations de gestion réalisées par le client pour faciliter la réception de contenu ou l'interaction avec le contenu, ou pour l'administration des données liées à l'utilisateur final ou au dispositif client lui-même, p.ex. apprentissage des préféren
  • H04N 21/466 - Procédé d'apprentissage pour la gestion intelligente, p.ex. apprentissage des préférences d'utilisateurs pour recommander des films

13.

SKELETON-BASED ACTION RECOGNITION USING BI-DIRECTIONAL SPATIAL-TEMPORAL TRANSFORMER

      
Numéro d'application 17315319
Statut En instance
Date de dépôt 2021-05-09
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Wu, Bo
  • Gan, Chuang
  • Wang, Dakuo
  • Qian, Kaizhi

Abrégé

A bi-directional spatial-temporal transformer neural network (BDSTT) is trained to predict original coordinates of a skeletal joint in a specific frame through relative relationships of the skeletal joint to other joints and to the state of the skeletal joint in other frames. Obtain a plurality of frames comprising coordinates of the skeletal joint and coordinates of other joints. Produce a spatially masked frame by masking the original coordinates of the skeletal joint. Provide the specific frame, the spatially masked frame, and at least one more frame to a coordinate prediction head of the BDSTT. Obtain, from the coordinate prediction head, a prediction of coordinates for the skeletal joint. Adjust parameters of the BDSTT until a mean-squared error, between the prediction of coordinates for the skeletal joint and the original coordinates of the skeletal joint, converges.

Classes IPC  ?

  • G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
  • G06T 7/246 - Analyse du mouvement utilisant des procédés basés sur les caractéristiques, p.ex. le suivi des coins ou des segments
  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
  • G06F 3/01 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur

14.

HEADER FOR CONVEYING TRUSTFUL CLIENT ADDRESS

      
Numéro d'application 17325356
Statut En instance
Date de dépôt 2021-05-20
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Tang, Gang
  • Rong, Liang
  • He, Guo Xing
  • Xian, Ming Shuang

Abrégé

Described are techniques including a computer-implemented method comprising appending a HyperText Transfer Protocol (HTTP) header to a HTTP request, wherein the HTTP header includes a source Internet Protocol (IP) address of a client generating the HTTP request, a universally unique identifier (UUID) of the HTTP request, a timestamp, a lifetime, a Universal Resource Locator (URL) of the HTTP request, and a signature. The method further comprises transmitting the HTTP request with the HTTP header to a web server.

Classes IPC  ?

  • H04L 9/32 - Dispositions pour les communications secrètes ou protégées comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
  • H04L 29/08 - Procédure de commande de la transmission, p.ex. procédure de commande du niveau de la liaison

15.

NATURAL LANGUAGE BIAS DETECTION IN CONVERSATIONAL SYSTEM ENVIRONMENTS

      
Numéro d'application 17324043
Statut En instance
Date de dépôt 2021-05-18
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Sivakumar, Gandhi
  • Altaf, Naeem
  • Devine, Wesley M.
  • Dudekula, Rizwan

Abrégé

A method, apparatus and computer program for detecting natural language (NL) bias by a conversational system is described. Embodiments of the invention determine an NL bias in a set of training questions used to train a machine learning model used by the conversational system to select a user intent. Other embodiments of the invention determine an NL bias in a user question received by the conversation system as compared to the set of training questions. The NL bias causes the machine learning to preferentially associate user queries to a user intent. In respective embodiments, the system takes a corrective action to adjust the NL bias of the training questions or the user question.

Classes IPC  ?

16.

TRUSTED AND DECENTRALIZED AGGREGATION FOR FEDERATED LEARNING

      
Numéro d'application 17323006
Statut En instance
Date de dépôt 2021-05-18
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Radhakrishnan, Jayaram Kallapalayam
  • Verma, Ashish
  • Gu, Zhongshu
  • Valdez, Enriquillo
  • Cheng, Pau-Chen
  • Jamjoom, Hani Talal

Abrégé

Techniques for distributed federated learning leverage a multi-layered defense strategy to provide for reduced information leakage. In lieu of aggregating model updates centrally, an aggregation function is decentralized into multiple independent and functionally-equivalent execution entities, each running within its own trusted executed environment (TEE). The TEEs enable confidential and remote-attestable federated aggregation. Preferably, each aggregator entity runs within an encrypted virtual machine that support runtime in-memory encryption. Each party remotely authenticates the TEE before participating in the training. By using multiple decentralized aggregators, parties are enabled to partition their respective model updates at model-parameter granularity, and can map single weights to a specific aggregator entity. Parties also can dynamically shuffle fragmentary model updates at each training iteration to further obfuscate the information dispatched to each aggregator execution entity. This architectural prevents the aggregator from being a single point-of-failure, and serves to protect the model even if all aggregators are compromised.

Classes IPC  ?

17.

GOAL SEEK ANALYSIS BASED ON STATUS MODELS

      
Numéro d'application 17323222
Statut En instance
Date de dépôt 2021-05-18
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Ma, Xiao Ming
  • Han, Si Er
  • Gao, Lei
  • Zhang, A Peng
  • Xu, Chun Lei
  • Wang, Rui
  • Xu, Jing James

Abrégé

An approach is provided in which the approach builds a combination model that includes a normal status model and an abnormal status model. The normal status model is built from a set of time-sequenced normal status records and the abnormal status model is built from a set of time-sequenced abnormal status records. The approach computes a set of time-sequenced coefficient combination values of the normal status model and the abnormal status model based on applying a set of fitting coefficient characteristics to the normal status model and the abnormal status model. The approach performs goal seek analysis on a system using the combination model and the set of time-sequenced coefficient combination values.

Classes IPC  ?

18.

FORMATION OF TRENCH SILICIDE SOURCE OR DRAIN CONTACTS WITHOUT GATE DAMAGE

      
Numéro d'application 17817365
Statut En instance
Date de dépôt 2022-08-04
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Greene, Andrew
  • Xie, Ruilong
  • Economikos, Laertis
  • Basker, Veeraraghavan S.
  • Park, Chanro
  • Zang, Hui

Abrégé

A semiconductor device includes one or more fins extending from a substrate, the one or more fins having source/drain epitaxial grown material (S/D epitaxy) thereon that merges one or more fins, a gate formed over the one or more fins, the gate including high k metal gate disposed between gate spacers and a metal liner over the S/D epitaxy and sides of the gate spacers. The gate includes a self-aligned contact cap over the HKMG and the metal liner.

Classes IPC  ?

  • H01L 21/768 - Fixation d'interconnexions servant à conduire le courant entre des composants distincts à l'intérieur du dispositif
  • H01L 29/66 - Types de dispositifs semi-conducteurs
  • H01L 21/8234 - Technologie MIS
  • H01L 29/49 - Electrodes du type métal-isolant-semi-conducteur
  • H01L 29/51 - Matériaux isolants associés à ces électrodes
  • H01L 29/78 - Transistors à effet de champ l'effet de champ étant produit par une porte isolée

19.

SIDE PAD ANCHORED BY NEXT ADJACENT VIA

      
Numéro d'application 17326906
Statut En instance
Date de dépôt 2021-05-21
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Watanabe, Takahito
  • Miyazawa, Risa
  • Mori, Hiroyuki

Abrégé

An integrated circuit package includes a substrate including at least one electrical connection to at least one of power or ground. The package further includes a bridge structure including at least one layer of conductive material and at least one layer of insulative material. The bridge structure is configured to be coupled to the substrate such that the conductive material is electrically connected to the at least one electrical connection. The bridge structure includes a side pad made of conductive material that is electrically connected to the at least one electrical connection. The side pad is in direct contact with the conductive material and with the insulative material of the bridge structure. The side pad forms an end face of the bridge structure such that the conductive material of the side pad is exposed.

Classes IPC  ?

  • H01L 23/538 - Dispositions pour conduire le courant électrique à l'intérieur du dispositif pendant son fonctionnement, d'un composant à un autre la structure d'interconnexion entre une pluralité de puces semi-conductrices se trouvant au-dessus ou à l'intérieur de substrats isolants
  • H01L 23/498 - Connexions électriques sur des substrats isolants
  • H01L 23/00 - DISPOSITIFS À SEMI-CONDUCTEURS; DISPOSITIFS ÉLECTRIQUES À L'ÉTAT SOLIDE NON PRÉVUS AILLEURS - Détails de dispositifs à semi-conducteurs ou d'autres dispositifs à l'état solide
  • H01L 21/48 - Fabrication ou traitement de parties, p.ex. de conteneurs, avant l'assemblage des dispositifs, en utilisant des procédés non couverts par l'un uniquement des groupes
  • H01L 25/065 - Ensembles consistant en une pluralité de dispositifs à semi-conducteurs ou d'autres dispositifs à l'état solide les dispositifs étant tous d'un type prévu dans le même sous-groupe des groupes , p.ex. ensembles de diodes redresseuses les dispositifs n'ayant pas de conteneurs séparés les dispositifs étant d'un type prévu dans le groupe

20.

COMPUTER MODELING TO ANALYZE ELECTRICAL USAGE IN AN ELECTRICAL GRID FOR FACILITATING MANAGEMENT OF ELECTRICAL TRANSMISSION

      
Numéro d'application 17303090
Statut En instance
Date de dépôt 2021-05-19
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Bharti, Harish
  • Saxena, Rajesh Kumar
  • Hairiya, Jitendra
  • Sukhija, Sandeep

Abrégé

A model is generating for predicting energy workloads to adjust electrical energy supply to meet varying short-term energy demands at a microcosm level. A model is developed, using a computer, to facilitate predicting energy workloads for adjusting energy supplies to meet an energy demand. The model includes receiving, at the computer, input parameters of dynamic values of workloads as historical data, and generating a predictive model by analyzing the input parameters. The model further includes predicting short-term energy demands based on the predictive model, the predicted short-term energy demands include identifying a predicted peak value. Also, the model includes initiating short term energy output in an electrical grid to a transformer level component in the electrical grid based on the predicted short term energy demands.

Classes IPC  ?

  • H02J 3/14 - Circuits pour réseaux principaux ou de distribution, à courant alternatif pour règler la tension dans des réseaux à courant alternatif par changement d'une caractéristique de la charge du réseau par interruption, ou mise en circuit, des charges du réseau, p.ex. charge équilibrée progressivement
  • G05B 13/04 - Systèmes de commande adaptatifs, c. à d. systèmes se réglant eux-mêmes automatiquement pour obtenir un rendement optimal suivant un critère prédéterminé électriques impliquant l'usage de modèles ou de simulateurs

21.

SEMANTIC TEXT COMPARISON USING ARTIFICIAL INTELLIGENCE IDENTIFIED SOURCE DOCUMENT TOPICS

      
Numéro d'application 17303098
Statut En instance
Date de dépôt 2021-05-20
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Osuala, Richard Obinna
  • Lohse, Christopher M.
  • Schaper, Ben J.
  • Streile, Marcell
  • Beller, Charles E.

Abrégé

A computer assigns a similarity value to a comparison document. The computer receives, reference document contextual word embeddings in first set of topic clusters, each with a representative embedding. The computer receives comparison document contextual word embeddings. The computer determines, using a trained neural network model classifier, for each comparison document contextual word embedding, topic correspondence values relative to the representative embeddings of said first set of clusters. The computer generates a second set of clusters by assigning comparison document embeddings to best matching one of the first clusters, according to the topic correspondence values. The computer determines a second set of representative embeddings and uses a comparison method, to determine a cluster similarity value for second set clusters compared to first set representative embeddings. The computer determines document similarity values based, at least in part, on at least one of cluster similarity values.

Classes IPC  ?

22.

IMAGE COLLECTION AND LABELLING USING COMPUTER SYSTEM AND ANALYSIS

      
Numéro d'application 17303086
Statut En instance
Date de dépôt 2021-05-19
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Chai, Tian Tian
  • Zhang, Hong Bing
  • Yin, Kun Yan
  • Guo, Miao
  • Luo, Yu
  • Zhao, Yun Jing

Abrégé

A method, a computing system and a computer program product for collecting and labelling images includes capturing a video of an object with a camera. A movement trace of a pointer is recorded that outlines the object while capturing the video of the object. Further included is generating a labeled image based at least on the captured video of the object and the recorded movement trace of the pointer. The labeled image includes the object and a line that surrounds the object.

Classes IPC  ?

  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
  • G06T 7/246 - Analyse du mouvement utilisant des procédés basés sur les caractéristiques, p.ex. le suivi des coins ou des segments
  • G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
  • G06T 11/20 - Traçage à partir d'éléments de base, p.ex. de lignes ou de cercles

23.

DISEASE DETECTION WITH MASKED ATTENTION

      
Numéro d'application 17319606
Statut En instance
Date de dépôt 2021-05-13
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Abedin, Shafiqul
  • Wang, Hongzhi
  • Dehghan Marvast, Ehsan
  • Beymer, David James

Abrégé

A candidate generator generates a set of candidate three-dimensional image patches from an input volume. A candidate classifier classifies the set of candidate three-dimensional image patches as containing or not containing disease. Classifying the set of candidate three-dimensional image patches comprises generating an attention mask for each given candidate three-dimensional image patch within the set of candidate three-dimensional image patches to form a set of attention masks, applying the set of attention masks to the set of candidate three-dimensional image patches to form a set of masked image patches, and classifying the set of masked image patches as containing or not containing the disease. The candidate classifier applies soft attention and hard attention to the three-dimensional image patches such that distinctive image regions are highlighted proportionally to their contribution to classification while completely removing image regions that may cause confusion.

Classes IPC  ?

  • G06T 7/00 - Analyse d'image
  • G16H 50/20 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour le diagnostic assisté par ordinateur, p.ex. basé sur des systèmes experts médicaux
  • G16H 30/20 - TIC spécialement adaptées à la manipulation ou au traitement d’images médicales pour la manipulation d’images médicales, p.ex. DICOM, HL7 ou PACS
  • G16H 30/40 - TIC spécialement adaptées à la manipulation ou au traitement d’images médicales pour le traitement d’images médicales, p.ex. l’édition
  • G06N 3/04 - Architecture, p.ex. topologie d'interconnexion
  • G06N 3/08 - Méthodes d'apprentissage
  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
  • G06K 9/44 - Lissage ou élagage de la forme
  • G06T 7/11 - Découpage basé sur les zones

24.

DETERMINING A VALIDITY OF AN EVENT EMITTER BASED ON A RULE

      
Numéro d'application 17325057
Statut En instance
Date de dépôt 2021-05-19
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Davis, James Collins
  • Davis, Willard Adams

Abrégé

A computer-implemented method according to one embodiment includes receiving data associated with a driver performing actions. At least some of the actions trigger events emitted by an event emitter. Information, from the received data, about the performed actions is logged in an action log. An event observer is instructed to log the events emitted by the event emitter that the event observer observes. The observed events are logged in an event log. The information of the action log and information of the event log is compared based on a rule, and a validity of the event emitter is determined based on results of the comparing. A computer program product according to another embodiment includes a computer readable storage medium having program instructions embodied therewith. The program instructions are readable and/or executable by a processor to cause the processor to perform the foregoing method.

Classes IPC  ?

  • G06F 9/48 - Lancement de programmes; Commutation de programmes, p.ex. par interruption
  • G06F 11/07 - Réaction à l'apparition d'un défaut, p.ex. tolérance de certains défauts
  • G06F 9/54 - Communication interprogramme

25.

ADJUSTABLE PHASE SHIFTER

      
Numéro d'application 17325299
Statut En instance
Date de dépôt 2021-05-20
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • You, Yang
  • Marquart, Chad Andrew
  • Wiedemeier, Glen A.
  • Bohlke, Tyler
  • Dreps, Daniel M.

Abrégé

A method includes determining a phase error for a first clock signal and a second clock signal and determining an offset based on the phase error for the first clock signal and the second clock signal. The method also includes adding the offset to a phase of the first clock signal to produce a first adjusted clock signal and subtracting the offset from a phase of the second clock signal to produce a second adjusted clock signal. A phase error for the first adjusted clock signal and the second adjusted clock signal is smaller than the phase error for the first clock signal and the second clock signal.

Classes IPC  ?

  • H03H 11/20 - Déphaseurs à deux accès produisant un déphasage réglable
  • G06F 1/08 - Générateurs d'horloge ayant une fréquence de base modifiable ou programmable
  • G06F 1/10 - Répartition des signaux d'horloge

26.

FEDERATED LEARNING WITH PARTITIONED AND DYNAMICALLY-SHUFFLED MODEL UPDATES

      
Numéro d'application 17323099
Statut En instance
Date de dépôt 2021-05-18
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Gu, Zhongshu
  • Radhakrishnan, Jayaram Kallapalayam
  • Verma, Ashish
  • Valdez, Enriquillo
  • Cheng, Pau-Chen
  • Jamjoom, Hani Talal
  • Eykholt, Kevin

Abrégé

Techniques for distributed federated learning leverage a multi-layered defense strategy to provide for reduced information leakage. In lieu of aggregating model updates centrally, an aggregation function is decentralized into multiple independent and functionally-equivalent execution entities, each running within its own trusted executed environment (TEE). The TEEs enable confidential and remote-attestable federated aggregation. Preferably, each aggregator entity runs within an encrypted virtual machine that support runtime in-memory encryption. Each party remotely authenticates the TEE before participating in the training. By using multiple decentralized aggregators, parties are enabled to partition their respective model updates at model-parameter granularity, and can map single weights to a specific aggregator entity. Parties also can dynamically shuffle fragmentary model updates at each training iteration to further obfuscate the information dispatched to each aggregator execution entity. This architectural prevents the aggregator from being a single point-of-failure, and serves to protect the model even if all aggregators are compromised.

Classes IPC  ?

27.

SOUND EFFECT SIMULATION BY CREATING VIRTUAL REALITY OBSTACLE

      
Numéro d'application 17303201
Statut En instance
Date de dépôt 2021-05-24
Date de la première publication 2022-11-24
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Kumar B, Dinesh
  • Rakshit, Sarbajit K.

Abrégé

According to one embodiment, a method, computer system, and computer program product for modulating external sounds to reflect the acoustic effects of virtual objects in a mixed-reality environment is provided. The present invention may include creating a knowledge corpus, recording a sound effect occurring externally to a mixed-reality environment experienced by a user operating the mixed-reality device; identifying one or more objects within the mixed-reality environment, including at least one virtual object; modulating the sound effect based on the knowledge corpus to simulate one or more acoustic effects of the one or more objects within the MR environment; and playing the modulated sound effect to the user.

Classes IPC  ?

  • H04S 7/00 - Dispositions pour l'indication; Dispositions pour la commande, p.ex. pour la commande de l'équilibrage
  • G06F 3/16 - Entrée acoustique; Sortie acoustique
  • G06F 3/0484 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] pour la commande de fonctions ou d’opérations spécifiques, p.ex. sélection ou manipulation d’un objet ou d’une image, détermination d’une valeur de paramètre ou sélection d’une plage de valeurs

28.

INPUT TEXT MANAGEMENT

      
Numéro d'application 17325457
Statut En instance
Date de dépôt 2021-05-20
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Fan, Fei
  • Wu, Lin Yan
  • Zhang, Xue Ying
  • Xu, Jing
  • Han, Yan Yan
  • Zhang, Yun Bo
  • Wen, Tao

Abrégé

Aspects of the present disclosure relate to input text management. Input text can be received from a user. A set of key elements can be extracted from the input text. A determination can be made whether the user is mapped to an existing cluster. In response to determining that the user is mapped to an existing cluster, a structured table mapping key elements to text modifications can be referenced. The input text can be modified according to the structured table mapping key elements to text modifications, wherein the existing cluster is associated with a text modification scheme within the structured table, wherein the text modification scheme includes a first mapping of key elements to text modifications.

Classes IPC  ?

  • G06F 40/177 - Traitement de texte Édition, p.ex. insertion ou suppression utilisant des lignes réglées
  • G06N 3/08 - Méthodes d'apprentissage

29.

VALIDATING OPERATOR SAFETY REQUIREMENTS

      
Numéro d'application 17324141
Statut En instance
Date de dépôt 2021-05-19
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Jain, Prashant
  • Rakshit, Sarbajit K.
  • Ang, Ai Kiar
  • Parvatina, Rambabu
  • Lim, Gary Kim Chwee

Abrégé

An opt-in from at least one user of a plurality of users associated with at least one tool of a plurality of tools is received. An authentication associated with a first opted-in user of the plurality of users associated with an access of a first tool of the plurality of tools is determined. A set of credentials required to operate the first tool associated with the first opted-in user is verified. A request to an Internet of things (IoT) receiver device is transmitted. A response from an IoT transmitter device is received. In response to determining that the first user is utilizing required equipment to operate the first tool, power to the first tool is supplied.

Classes IPC  ?

  • G05B 19/418 - Commande totale d'usine, c.à d. commande centralisée de plusieurs machines, p.ex. commande numérique directe ou distribuée (DNC), systèmes d'ateliers flexibles (FMS), systèmes de fabrication intégrés (IMS), productique (CIM)
  • H04W 4/70 - Services pour la communication de machine à machine ou la communication de type machine
  • G05B 23/02 - Test ou contrôle électrique

30.

TRUSTED AND DECENTRALIZED AGGREGATION FOR FEDERATED LEARNING

      
Numéro d'application IB2022054581
Numéro de publication 2022/243871
Statut Délivré - en vigueur
Date de dépôt 2022-05-17
Date de publication 2022-11-24
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) INVESTMENT COMPANY LTD. (Chine)
  • IBM DEUTSCHLAND GMBH (Allemagne)
Inventeur(s)
  • Radhakrishnan, Jayaram Kallapalayam
  • Verma, Ashish
  • Gu, Zhongshu
  • Valdez, Enriquillo
  • Cheng, Pau-Chen
  • Jamjoom, Hani

Abrégé

Techniques for distributed federated learning leverage a multi-layered defense strategy to provide for reduced information leakage. In lieu of aggregating model updates centrally, an aggregation function is decentralized into multiple independent and functionally-equivalent execution entities, each running within its own trusted executed environment (TEE). The TEEs enable confidential and remote-attestable federated aggregation. Preferably, each aggregator entity runs within an encrypted virtual machine that support runtime in-memory encryption. Each party remotely authenticates the TEE before participating in the training. By using multiple decentralized aggregators, parties are enabled to partition their respective model updates at model-parameter granularity, and can map single weights to a specific aggregator entity. Parties also can dynamically shuffle fragmentary model updates at each training iteration to further obfuscate the information dispatched to each aggregator execution entity. This architectural prevents the aggregator from being a single point-of-failure, and serves to protect the model even if all aggregators are compromised.

Classes IPC  ?

  • G06N 20/20 - Techniques d’ensemble en apprentissage automatique

31.

DETECTING RESOURCE REDUNDANCY AND CONFLICTS IN HETEROGENEOUS COMPUTING ENVIRONMENT

      
Numéro d'application CN2022093049
Numéro de publication 2022/242595
Statut Délivré - en vigueur
Date de dépôt 2022-05-16
Date de publication 2022-11-24
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Kandasamy, Malarvizhi
  • Kairali, Sudheesh S.
  • Biswas, Amitabha

Abrégé

Detecting resource errors in a heterogeneous computing environment is provided. A plurality of individual resource dependency graphs corresponding to a plurality of computing systems that comprise the heterogeneous computing environment is consolidated to form a consolidated resource dependency graph. An analysis of respective nodes representing respective resources of the heterogeneous computing environment in the consolidated resource dependency graph is performed to identify a resource error caused by a new resource being added to a computing system of the plurality of computing systems based on defined rule sets. It is determined whether the new resource causes an error to sibling resources at a same level under a parent resource in the consolidated resource dependency graph based on the analysis. In response to determining that the new resource does not cause an error to the sibling resources, the new resource is deployed in the computing system of the heterogeneous computing environment.

Classes IPC  ?

  • G06F 11/07 - Réaction à l'apparition d'un défaut, p.ex. tolérance de certains défauts

32.

DRIVE ENHANCED J/ZZ OPERATION FOR SUPERCONDUCTING QUBITS

      
Numéro d'application EP2022063360
Numéro de publication 2022/243338
Statut Délivré - en vigueur
Date de dépôt 2022-05-17
Date de publication 2022-11-24
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM DEUTSCHLAND GMBH (Allemagne)
Inventeur(s)
  • Kandala, Abhinav
  • Mckay, David
  • Lauer, Isaac
  • Magesan, Easwar

Abrégé

Systems, devices, computer-implemented methods, and/or computer program products that facilitate dynamic control of ZZ interactions for quantum computing devices.In one example, a quantum device can comprise a biasing component that is operatively coupled to first and second qubits via respective first and second drive lines. The biasing component can facilitate dynamic control of ZZ interactions between the first and second qubits using continuous wave (CW) tones applied via the respective first and second drive lines.

Classes IPC  ?

  • G06N 10/40 - Réalisations ou architectures physiques de processeurs ou de composants quantiques pour la manipulation de qubits, p.ex. couplage ou commande de qubit
  • G06N 10/70 - Correction, détection ou prévention d’erreur quantique, p.ex. codes de surface ou distillation d’état magique

33.

IBM Z16

      
Numéro d'application 1697870
Statut Enregistrée
Date de dépôt 2022-08-29
Date d'enregistrement 2022-08-29
Propriétaire International Business Machines Corporation (USA)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 37 - Services de construction; extraction minière; installation et réparation
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Computer hardware and recorded computer software for information technology analysis and database management; computer hardware; computers; computer servers; computer storage devices, namely, high-speed storage subsystems for storage and backup of electronic data either locally or via a telecommunications network; downloadable and recorded computer software for use in controlling the operation and execution of computer systems, programs, and networks; downloadable and recorded computer software for use in connecting disparate computer networks and systems, computer servers and storage devices; downloadable and recorded computer operating system software; downloadable and recorded computer software for linking together computers and for enabling computing across a globally accessible network; downloadable and recorded computer software for managing hardware, software and processes that exist within an information technology environment, computer systems combining hardware and software for use in management and analysis of data and instructional manuals sold as a unit therewith; cloud computing system, namely, network integrating computer hardware and software for dynamic provisioning, virtualization, and consumption metering of computer resources; downloadable cloud-computing software for deploying and managing virtual machines to a cloud computing platform; computer systems, namely, computer hardware and downloadable and recorded computer software for integrating natural language processing (NLP), computational linguistics (CL), information retrieval (IR) and machine learning (ML) which is capable of understanding general human queries and formulating responses; downloadable and recorded electronic publications in the nature of books, instructional manuals, technical documents, and information brochures in the field of computing. Custom installation, repair and maintenance of computer hardware. Computer services, namely, computer programming; computer systems integrations services; computer software and hardware consultation services; consulting services in the field of design, selection, implementation and use of computer hardware and software systems for others; technical support services, namely, troubleshooting in the nature of diagnosing computer hardware and computer software problems; computer systems design services for others; computer systems analysis; interconnection of computer hardware and software, namely, integration of computer systems and networks; computer software and hardware testing services, namely, testing of computer software, computers and servers to assure proper functioning; installation, updating and maintenance of computer software; computer programming for others; cloud computing services, namely, network integrated computer hardware and software services for dynamic provisioning, virtualization, and consumption metering of computer resources; consulting services in the field of cloud computing; providing virtual computer systems and virtual computer environments through cloud computing; design and development of computer software for cloud storage of data; computer services, namely, cloud hosting provider services; computer services, namely, electronic data storage and data recovery services.

34.

AUGMENTED REALITY BASED POWER MANAGEMENT

      
Numéro d'application 17324207
Statut En instance
Date de dépôt 2021-05-19
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Nagar, Raghuveer Prasad
  • Rakshit, Sarbajit K.
  • Yadav, Saurabh

Abrégé

A computer device trains a neural network to determine power recharging directions between sets of computing devices based on historical computing device data and historical user eye data. The computing device receives, from an augmented reality device, computing device data pertaining to a first computing device and a second computing device, and user eye data pertaining to a user associated with the first computing device and the second computing device. The computing device determines a power recharging direction between the first computing device and the second computing device based, at least in part, on providing the received computing device data and the received user eye data as input to the neural network, resulting in an identification of a source computing device and a target computing device. The computing devices triggers a power recharging cycle, wherein the source computing device transfers direct current power to the target computing device.

Classes IPC  ?

  • G06F 1/3212 - Surveillance du niveau de charge de la batterie, p.ex. un mode d’économie d’énergie étant activé lorsque la tension de la batterie descend sous un certain niveau
  • G06F 1/30 - Moyens pour agir en cas de panne ou d'interruption d'alimentation
  • G06T 19/00 - Manipulation de modèles ou d'images tridimensionnels [3D] pour infographie

35.

MANAGEMENT OF ACCESS CONTROL IN MULTI-CLOUD ENVIRONMENTS

      
Numéro d'application 17324209
Statut En instance
Date de dépôt 2021-05-19
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Gokhale, Amey
  • Dixith, Dileep
  • Jain, Abhishek
  • Nallasivam, Subramaniyan

Abrégé

A computer-implemented to control access to data on an off-premises storage system. The method includes defining an access policy for a plurality of files in a file system stored in an on-premises storage system. The method further includes registering the access policy with a first off-premises storage system. The method also includes creating a resource-based cloud access policy based on an on-premise access policy. The method includes determining a set of files from the plurality of files to migrate to the off-premises storage. The method also includes obtaining, for the set of files, an access policy as access metadata. The method further includes migrating the set of files and the access metadata to the off-premises storage.

Classes IPC  ?

  • H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole
  • G06F 16/14 - Systèmes de fichiers; Serveurs de fichiers - Détails de la recherche de fichiers basée sur les métadonnées des fichiers
  • G06F 16/11 - Administration des systèmes de fichiers, p.ex. détails de l’archivage ou d’instantanés
  • G06F 16/182 - Systèmes de fichiers distribués

36.

LEVERAGING EXPLANATIONS FOR TRAINING OF AN AI SYSTEM

      
Numéro d'application 17323364
Statut En instance
Date de dépôt 2021-05-18
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Rigotti, Mattia
  • Miksovic Czasch, Christoph Adrian
  • Scotton, Paolo
  • Gschwind, Thomas
  • Malossi, Adelmo Cristiano Innocenza
  • Frick, Thomas
  • Janicki, Filip Michal

Abrégé

Computer-implemented methods, computer program products, and computer systems for training of an explaining machine-learning model is disclosed. The computer-implemented method may include one or more processors configured for providing an untrained machine-learning model, providing training data for the machine-learning model comprising training input data elements, wherein each of the training input data elements relates to a prediction label representing an expected prediction value as well as to a concept label, wherein the concept label relates to a reason why the expected prediction label is expected given the training input data elements, and simultaneously updating, during a supervised training of the machine-learning model, prediction parameter values as well as concept parameter values, thereby building the explaining machine-learning model.

Classes IPC  ?

  • G06N 3/08 - Méthodes d'apprentissage
  • G06N 3/04 - Architecture, p.ex. topologie d'interconnexion

37.

EMBEDDING-BASED GENERATIVE MODEL FOR PROTEIN DESIGN

      
Numéro d'application 17317399
Statut En instance
Date de dépôt 2021-05-11
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Das, Payel
  • Chen, Pin-Yu
  • Vijil, Enara C.
  • Melnyk, Igor
  • Cao, Yue

Abrégé

A system and method for designing protein sequences conditioned on a specific target fold. The system is a transformer-based generative framework for modeling a complex sequence-structure relationship. To mitigate the heterogeneity between the sequence domain and the fold domain, a Fold-to-Sequence model jointly learns a sequence embedding using a transformer and a fold embedding from the density of secondary structural elements in 3D voxels. The joint sequence-fold representation through novel intra-domain and cross-domain losses with an intra-domain loss forcing two semantically similar (where the proteins should have the same fold(s)) samples from the same domain to be close to each other in a latent space, while a cross-domain loss forces two semantically similar samples in different domains to be closer. In an embodiment, the Fold-to-Sequence model performs design tasks that include low resolution structures, structures with region of missing residues, and NMR structural ensembles.

Classes IPC  ?

  • G16B 15/20 - Repliement de protéines ou de domaines
  • G06F 30/10 - CAO géométrique
  • G06F 30/27 - Optimisation, vérification ou simulation de l’objet conçu utilisant l’apprentissage automatique, p.ex. l’intelligence artificielle, les réseaux neuronaux, les machines à support de vecteur [MSV] ou l’apprentissage d’un modèle
  • G06F 40/126 - Encodage de caractères
  • G06T 19/20 - Manipulation de modèles ou d'images tridimensionnels [3D] pour infographie Édition d'images tridimensionnelles [3D], p.ex. modification de formes ou de couleurs, alignement d'objets ou positionnements de parties
  • G16B 15/10 - Repliement des acides nucléiques

38.

DETERMINING DOMAIN AND MATCHING ALGORITHMS FOR DATA SYSTEMS

      
Numéro d'application 17322952
Statut En instance
Date de dépôt 2021-05-18
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Oberhofer, Martin
  • Bremer, Lars
  • Boone, Marcus
  • Pulipaty, Geetha Sravanthi
  • Jackson, Christopher

Abrégé

A computer-implemented method for configuring data deduplication is disclosed. The computer-implemented method includes receiving source data. The computer-implemented method further includes analyzing the source data, wherein analyzing the source data includes generating data profiling statistics from the source data and classifying attributes of the source data. The computer-implemented method further includes determining at least one data domain associated with the source data based, at least in part, on the data profiling statistics, the classified attributes, and ontology data. The computer-implemented method further includes determining, for the at least one data domain associated with the source data, a number of required matching algorithms for a data matching engine to execute data deduplication within the source data.

Classes IPC  ?

  • G06F 16/215 - Amélioration de la qualité des données; Nettoyage des données, p.ex. déduplication, suppression des entrées non valides ou correction des erreurs typographiques
  • G06F 16/2458 - Types spéciaux de requêtes, p.ex. requêtes statistiques, requêtes floues ou requêtes distribuées
  • G06N 20/00 - Apprentissage automatique
  • G06F 16/28 - Bases de données caractérisées par leurs modèles, p.ex. des modèles relationnels ou objet

39.

FAIR SIMULTANEOUS COMPARISON OF PARALLEL MACHINE LEARNING MODELS

      
Numéro d'application 17244707
Statut En instance
Date de dépôt 2021-04-29
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Engel, Robert
  • Megahed, Aly
  • Butler, Eric Kevin
  • Ramchandani, Nitin
  • Ong, Yuya Jeremy

Abrégé

A method of using a computing device to compare performance of multiple algorithms. The method includes receiving, by a computing device, multiple algorithms to assess. The computing device further receives a total amount of resources to allocate to the multiple algorithms. The computing device additionally assigns a fair share of the total amount of resources to each of the multiple algorithms. The computing device still further executes each of the multiple algorithms using the assigned fair share of the total amount of resources. The computing device additionally compares the performance of each of the multiple based on at least one of multiple hardware relative utility metrics describing a hardware relative utility of any given resource allocation for each of the multiple algorithms.

Classes IPC  ?

  • G06F 11/34 - Enregistrement ou évaluation statistique de l'activité du calculateur, p.ex. des interruptions ou des opérations d'entrée–sortie
  • G06N 20/00 - Apprentissage automatique
  • G06F 9/50 - Allocation de ressources, p.ex. de l'unité centrale de traitement [UCT]
  • G06F 9/48 - Lancement de programmes; Commutation de programmes, p.ex. par interruption
  • G06F 11/30 - Surveillance du fonctionnement

40.

Data in Transit Protection with Exclusive Control of Keys and Certificates Across Heterogeneous Distributed Computing Environments

      
Numéro d'application 17303165
Statut En instance
Date de dépôt 2021-05-21
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Nagaratnam, Nataraj
  • Smith, Christopher S.
  • Nguyen, David
  • Schmatz, Martin
  • Pavone, Marco
  • Rameshan, Navaneeth

Abrégé

Certificate and key management is provided. A signed certificate corresponding to an enterprise is deployed to a plurality of cryptographic communication protocol endpoint proxies located in a heterogeneous distributed computing environment where a private key corresponding to the enterprise is not placed in any of the plurality of cryptographic communication protocol endpoint proxies. Offload of cryptographic communications from the plurality of cryptographic communication protocol endpoint proxies to the hardware security module is received by the hardware security module where the hardware security module verifies connection authenticity for the plurality of cryptographic communication protocol endpoint proxies across the heterogeneous distributed computing environment using the private key corresponding to the enterprise that remains within a security boundary of the hardware security module.

Classes IPC  ?

  • H04L 9/32 - Dispositions pour les communications secrètes ou protégées comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
  • H04L 9/08 - Répartition de clés
  • H04L 9/14 - Dispositions pour les communications secrètes ou protégées utilisant plusieurs clés ou algorithmes

41.

SECURELY PAYING FOR STORED ENERGY

      
Numéro d'application 17303183
Statut En instance
Date de dépôt 2021-05-24
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Bathen, Luis Angel
  • Cook, Cedric D.
  • Coq, Marc Henri
  • Sutton, Akil Khamisi

Abrégé

Approaches presented herein enable securely paying for stored energy. More specifically, a request to purchase a quantity of energy is sent. One or more offers to provide the quantity of energy are received. An offer of the one or more offers is accepted, where the accepted offer is made by a provider. The quantity of energy is received from the provider, and a payment based upon the accepted offer is sent to the provider.

Classes IPC  ?

42.

ACOUSTIC DATA AUGMENTATION WITH MIXED NORMALIZATION FACTORS

      
Numéro d'application 17326463
Statut En instance
Date de dépôt 2021-05-21
Date de la première publication 2022-11-24
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Nagano, Toru
  • Fukuda, Takashi
  • Suzuki, Masayuki

Abrégé

A method, computer system, and a computer program product for audio data augmentation are provided. Sets of audio data from different sources may be obtained. A respective normalization factor for at least two sources of the different sources may be calculated. The normalization factors from the at least two sources may be mixed to determine a mixed normalization factor. A first set of the sets may be normalized by using the mixed normalization factor and to obtain training data for training an acoustic model.

Classes IPC  ?

  • G10L 21/00 - Traitement du signal de parole ou de voix pour produire un autre signal audible ou non audible, p.ex. visuel ou tactile, afin de modifier sa qualité ou son intelligibilité
  • G10L 25/27 - Techniques d'analyses de la parole ou de la voix qui ne se limitent pas à un seul des groupes caractérisées par la technique d’analyse
  • G10L 19/02 - Techniques d'analyse ou de synthèse de la parole ou des signaux audio pour la réduction de la redondance, p.ex. dans les vocodeurs; Codage ou décodage de la parole ou des signaux audio utilisant les modèles source-filtre ou l’analyse psychoacoustique utilisant l'analyse spectrale, p.ex. vocodeurs à transformée ou vocodeurs à sous-bandes
  • G06N 20/00 - Apprentissage automatique

43.

ADAPTIVE USER INTERFACING

      
Numéro d'application 17327302
Statut En instance
Date de dépôt 2021-05-21
Date de la première publication 2022-11-24
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Shek, Elinna
  • Vernier, Stanley John
  • Decker, Renee F.
  • Ding, Chengmin

Abrégé

Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: examining programming data defining a first user interactive user interfacing application for interactive engagement with an end user; examining programming data defining a second user interactive user interfacing application for interactive engagement with a user; identifying one or more difference between the second user interactive user interfacing application and the first user interactive user interfacing application using result data resulting from the examining programming data defining a first user interactive user interfacing application and resulting data resulting from the examining programming data defining a second user interactive user interfacing application; and generating update data for updating the second user interactive user interfacing application in dependence on the one or more difference between the second user interactive user interfacing application and the first user interactive user interfacing application.

Classes IPC  ?

  • G06F 8/34 - Programmation graphique ou visuelle
  • G06F 8/33 - Création ou génération de code source Éditeurs intelligents
  • H04L 12/58 - Systèmes de commutation de messages

44.

UPDATING OF A STATISTICAL SET FOR DECENTRALIZED DISTRIBUTED TRAINING OF A MACHINE LEARNING MODEL

      
Numéro d'application 17314450
Statut En instance
Date de dépôt 2021-05-07
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Zhang, Wei
  • Cui, Xiaodong
  • Wang, Xin
  • Sun, Zhaonan

Abrégé

Systems, computer-implemented methods, and/or computer program products to facilitate updating, such as averaging and/or training, of one or more statistical sets are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can include a computing component that updates a first statistical set with an additional statistical set from an additional system. The additional statistical set can have been generated from a parent statistical set that is based on underlying data. To update the first statistical set, the additional statistical set can be obtained by the system without obtaining the parent statistical set and without obtaining the underlying data. According to an embodiment, the first statistical set can be a model parameter set generated from a first parent statistical set that is an analytical model.

Classes IPC  ?

  • G06N 7/00 - Systèmes de calculateurs basés sur des modèles mathématiques spécifiques

45.

MULTI-PHASE PRIVACY-PRESERVING INFERENCING IN A HIGH VOLUME DATA ENVIRONMENT

      
Numéro d'application 17315409
Statut En instance
Date de dépôt 2021-05-10
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Vaculin, Roman
  • Sarpatwar, Kanthi
  • Min, Hong

Abrégé

A method, apparatus and computer program product that provides multi-phase privacy-preserving inferencing in a high throughput data environment, e.g., to facilitate fraud prediction, detection and prevention. In one embodiment, two (2) machine learning models are used, a first model that is trained in the clear on first transaction data, and a second model that is trained in the clear but on the first transaction data, and user data. The first model is used to perform inferencing in the clear on the high throughput received data. In this manner, the first model provides a first level evaluation of whether a particular transaction might be fraudulent. If a transaction is flagged in this first phase, a second more secure inference is then carried out using the second model. The inferencing performed by the second model is done on homomorphically encrypted data. Thus, only those transactions marked by the first model are passed to the second model for secure evaluation.

Classes IPC  ?

  • G06Q 20/40 - Autorisation, p.ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasin; Examen et approbation des payeurs, p.ex. contrôle des lignes de crédit ou des listes négatives
  • G06N 20/00 - Apprentissage automatique
  • G06N 5/04 - Méthodes ou dispositifs inférents

46.

TRANSLATION VERIFICATION AND CORRECTION

      
Numéro d'application 17323270
Statut En instance
Date de dépôt 2021-05-18
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Zhang, Guang Ming
  • Yang, Xiaoyang
  • Jia, Hong Wei
  • Liu, Mo Chi
  • Wang, Yun

Abrégé

Embodiments of the present disclosure relate to a solution for translation verification and correction. According to the solution, a neural network is trained to determine an association degree among a group of words in a source or target language. The neural network can be used for translation verification and correction. According to the solution, a group of words in a source language and translations of the group of words in a target language are obtained. An association degree among the group of words and an association degree among the translations can be determined by using the trained neural network. Then, whether there is a wrong translation can be determined based on the association degrees. In some embodiments, corresponding methods, systems and computer program products are provided.

Classes IPC  ?

  • G06F 40/58 - Utilisation de traduction automatisée, p.ex. pour recherches multilingues, pour fournir aux dispositifs clients une traduction effectuée par le serveur ou pour la traduction en temps réel
  • G06F 40/51 - Traitement ou traduction du langage naturel Évaluation de la traduction
  • G06N 3/08 - Méthodes d'apprentissage

47.

COMPUTATION SHARING AMONG DEVICES USING DEVICE OS CLUSTERING

      
Numéro d'application 17323241
Statut En instance
Date de dépôt 2021-05-18
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Gadge, Vaibhav Vijay
  • Hockett, Hugh Edward

Abrégé

A processor may identify an action of a first device of the IoT devices. The processor may initiate a transfer from the first device to one or more other devices of the IoT devices. The processor may pause each thread being executed by the first device and the one or more other devices. The processor may transfer a unit from the first device to the one or more other devices.

Classes IPC  ?

  • G06F 9/48 - Lancement de programmes; Commutation de programmes, p.ex. par interruption
  • G06F 9/4401 - Amorçage
  • G16Y 40/30 - Commande
  • G16Y 20/20 - Information détectée ou collectée par les objets relative à l’objet même

48.

Exam Evaluator Performance Evaluation

      
Numéro d'application 17302999
Statut En instance
Date de dépôt 2021-05-18
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Manoria, Vikas Kumar
  • Velagapudi, Prasad
  • Yadav, Rameshchand
  • Narasimha, Satish Somanna

Abrégé

Evaluating examination scoring performance of exam evaluators is provided. Simulated examination sheets are generated that include new answer versions corresponding to examination questions regarding a particular subject matter for scoring by an exam evaluator. Each new answer version is generated based on a selected answer type comprised of a plurality of levels of a plurality of answer generating factors. A score is generated for each respective new answer version based on manipulation of model answers to the examination questions. An exam evaluation model of the exam evaluator scoring the new answer versions to the examination questions on the simulated examination sheets is formulated based on detected scoring deviations between computer-generated scores and evaluator-assigned scores for the new answer versions. Scores assigned by the exam evaluator to answers provided by a group of examinees to questions on the particular subject matter are adjusted based on the detected scoring deviations.

Classes IPC  ?

  • G06Q 50/20 - Services Éducation
  • G09B 7/02 - Dispositifs ou appareils d'enseignement à commande électrique procédant par questions et réponses du type où l'élève doit donner une réponse à la question posée, ou bien où la machine donne une réponse à la question posée par l'élève

49.

MITIGATING VOICE FREQUENCY LOSS

      
Numéro d'application 17302981
Statut En instance
Date de dépôt 2021-05-18
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Swift, Mary D.
  • Manotas Gutiérrez, Irene Lizeth
  • Anders, Kelley
  • Dunne, Jonathan D.

Abrégé

Computer-implemented methods, computer program products, and computer systems for mitigating frequency loss may include one or more processors configured for receiving first audio data corresponding to unobstructed user utterances, receiving second audio data corresponding to first obstructed user utterances, generating a frequency loss (FL) model representing frequency loss between the first audio data and the second audio data, receiving third audio data corresponding to one or more second obstructed user utterances, processing the third audio data using the FL model to generate fourth audio data corresponding to a frequency loss mitigated version of the second obstructed user utterances, and transmitting the fourth audio data to a recipient computing device. The first obstructed user utterances are obstructed by a facemask and the one or more second obstructed user utterances is obstructed by the facemask. The FL model may be executed as an audio plugin in a web conferencing program.

Classes IPC  ?

  • G10L 25/18 - Techniques d'analyses de la parole ou de la voix qui ne se limitent pas à un seul des groupes caractérisées par le type de paramètres extraits les paramètres extraits étant l’information spectrale de chaque sous-bande
  • G10L 19/008 - Codage ou décodage du signal audio multi-canal utilisant la corrélation inter-canaux pour réduire la redondance, p.ex. stéréo combinée, codage d’intensité ou matriçage
  • G10L 15/14 - Classement ou recherche de la parole utilisant des modèles statistiques, p.ex. des modèles de Markov cachés [HMM]
  • G10L 19/02 - Techniques d'analyse ou de synthèse de la parole ou des signaux audio pour la réduction de la redondance, p.ex. dans les vocodeurs; Codage ou décodage de la parole ou des signaux audio utilisant les modèles source-filtre ou l’analyse psychoacoustique utilisant l'analyse spectrale, p.ex. vocodeurs à transformée ou vocodeurs à sous-bandes
  • G10L 15/10 - Classement ou recherche de la parole utilisant des mesures de distance ou de distorsion entre la parole inconnue et les gabarits de référence
  • G10L 25/90 - Détermination de la hauteur tonale des signaux de parole

50.

AUTOMATED CONVERSATIONAL RESPONSE GENERATION

      
Numéro d'application 17307175
Statut En instance
Date de dépôt 2021-05-04
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Wang, Dakuo
  • Yu, Mo
  • Gan, Chuang
  • Wu, Bo

Abrégé

Systems, computer-implemented methods, and/or computer program products facilitating a process to identify and respond to a primary electronic message are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can include a determination component can determine that a primary electronic message has not received a response electronic message. An analysis component can generate a generated electronic message addressing the informational or emotional content of the primary electronic message. In one or more embodiments, an updating component can update the analytical model based on one or more feedbacks to the generated electronic message, where the analytical model can remain active while being updated. The one or more feedbacks can comprise a feedback from an entity-in-the-loop monitoring outputs of the analytical model including the generated electronic message.

Classes IPC  ?

  • H04L 12/58 - Systèmes de commutation de messages
  • G06F 40/30 - Analyse sémantique
  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
  • G06F 11/30 - Surveillance du fonctionnement

51.

TRANSACTION DATA PROCESSING

      
Numéro d'application 17302941
Statut En instance
Date de dépôt 2021-05-17
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Zhang, Shi Lei
  • Zhang, Li
  • Suzumura, Toyotaro
  • Kawahara, Ryo

Abrégé

A dynamic graph embedding method for transaction data analysis includes obtaining transaction data associated with an account during a plurality of time windows, extracting spatial-temporal information of the transaction data by using a graph convolutional network and a transformer framework, and generating a feature representation for the account based on the spatial-temporal information.

Classes IPC  ?

  • G06Q 20/40 - Autorisation, p.ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasin; Examen et approbation des payeurs, p.ex. contrôle des lignes de crédit ou des listes négatives
  • G06Q 40/02 - Opérations bancaires, p.ex. calcul d'intérêts, autorisations de crédit, hypothèques, banque à domicile ou banque en ligne
  • G06N 3/04 - Architecture, p.ex. topologie d'interconnexion
  • G06N 7/00 - Systèmes de calculateurs basés sur des modèles mathématiques spécifiques

52.

PROCESS SPECIFIC ANTIPATTERNS DETERMINATION IN SUPPLY CHAIN

      
Numéro d'application 17324519
Statut En instance
Date de dépôt 2021-05-19
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Mech, Himangshu
  • Sar, Sudhanshu Sekher
  • Philip, Shephil Graceline
  • Saraswathi H M, Aishwarya

Abrégé

Technology for machine logic (that is, computer software, computer hardware) to perform a process that: (i) receives historical data relating to historical operations of a supply chain; (ii) applies a machine learning algorithm to detect that an antipattern exists inherent in the way the supply chain is being operated; (iii) calculates a bias influence score based on the existing antipattern; (iv) re-applies the machine learning algorithm to identify a discovered anomaly that exists in historical data relating to operation of the supply chain; and (v) sends out a communication identifying the discovered anomaly.

Classes IPC  ?

  • G06Q 10/08 - Logistique, p.ex. entreposage, chargement, distribution ou expédition; Gestion d'inventaire ou de stocks, p.ex. exécution d'une commande, approvisionnement ou régularisation par rapport aux commandes
  • G06N 20/00 - Apprentissage automatique

53.

EFFICIENTLY BATCHING PRE-ENCRYPTED DATA FOR HOMOMORPHIC INFERENCE

      
Numéro d'application 17315433
Statut En instance
Date de dépôt 2021-05-10
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Sarpatwar, Kanthi
  • Vaculin, Roman
  • Aharoni, Ehud
  • Rayfield, James Thomas
  • Soceanu, Omri

Abrégé

Privacy-preserving homomorphic inferencing utilizes batch processing on encrypted data records. Each data record has a private data portion of interest against which the inferencing is carried out. Batch processing is enabled with respect to a set of encrypted data records by techniques that ensure that each encrypted data record has its associated private data portion in a unique location relative to the other data records. The set of encrypted data records are then summed to generate a single encrypted data record against which the inferencing is done. In a first embodiment, the private data portions of interest are selectively and uniquely positioned at runtime (when the inferencing is being applied). In a second embodiment, the private data portions of interest are initially positioned with the data-at-rest, preferably in an off-line process; thereafter, at runtime individual encrypted data records are processed as necessary to adjust the private data portions to unique positions prior to batching.

Classes IPC  ?

  • H04L 9/00 - Dispositions pour les communications secrètes ou protégées
  • G06N 5/04 - Méthodes ou dispositifs inférents
  • G06N 20/00 - Apprentissage automatique

54.

PROVIDING DEBUG INFORMATION ON PRODUCTION CONTAINERS USING DEBUG CONTAINERS

      
Numéro d'application 17880181
Statut En instance
Date de dépôt 2022-08-03
Date de la première publication 2022-11-24
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Baines, Jack S.
  • Clapperton, Kirstine F.L.
  • Crighton, David J.
  • Lickorish, Rosanna M.
  • Naish, Martin R.

Abrégé

A method, system and computer program product. A production container executes computer software in the production container. A debug container that is a replica of the production container executes in the debug container computer software corresponding to the computer software in the production container. A gateway through which (i) an outbound request from the computer software executing in the production container is sent to a remote server and (ii) inbound responses to the outbound request are received from the remote server. A data store receives the outbound request together with the inbound responses via an indirect path from the gateway to the data store. The indirect path is routed through at least one intervening connection between the gateway and the data store.

Classes IPC  ?

  • G06F 11/36 - Prévention d'erreurs en effectuant des tests ou par débogage de logiciel

55.

THERMALLY EFFICIENT ROUTE SELECTION

      
Numéro d'application EP2022062910
Numéro de publication 2022/243154
Statut Délivré - en vigueur
Date de dépôt 2022-05-12
Date de publication 2022-11-24
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM UNITED KINGDOM LIMITED (Royaume‑Uni)
Inventeur(s)
  • Perumalla, Saraswathi,sailaja
  • Rakshit, Sarbajit
  • Chettupalli, Swetha, Sukeerthi

Abrégé

Provided are techniques for thermally efficient route selection. A request is received for a route for a vehicle to travel from a first geographic location to a second geographic location. Route data is retrieved for each of a plurality of routes, where the route data includes, for each portion of each route at a given time and day, air temperature adjacent to a road surface. Vehicle data is retrieved for the vehicle, where the vehicle data includes a desired temperature of an item being carried and a desired inlet air temperature. The route from the first geographic location to the second geographic location is determined using the route data and the vehicle data, where the route is thermally efficient. The vehicle is directed along the route, where the route specifies a lane from a plurality of lanes of a road for each portion of the route.

Classes IPC  ?

  • G01C 21/34 - Recherche d'itinéraire; Guidage en matière d'itinéraire
  • G01C 21/36 - Dispositions d'entrée/sortie pour des calculateurs embarqués
  • B60H 1/00 - Dispositifs de chauffage, de refroidissement ou de ventilation

56.

SECURE DATA ERASE FOR TAPE STORAGE

      
Numéro d'application CN2022086081
Numéro de publication 2022/242371
Statut Délivré - en vigueur
Date de dépôt 2022-04-11
Date de publication 2022-11-24
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Matsui, Sosuke
  • Nohta, Takeshi
  • Tanaka, Jun
  • Tatsumi, Erina

Abrégé

In an approach, a processor determines that an inactive data area is present at end-of-tape (EOT) of a tape. A processor, responsive to determining that the inactive data area is present at EOT, securely erases the inactive data area that is present at EOT by overwriting data located at the inactive data area with different data.

Classes IPC  ?

  • G11B 5/008 - Enregistrement, reproduction ou effacement sur des bandes ou des fils magnétiques
  • G06F 21/62 - Protection de l’accès à des données via une plate-forme, p.ex. par clés ou règles de contrôle de l’accès

57.

COMPUTATION SHARING AMONG DEVICES USING DEVICE OS CLUSTERING

      
Numéro d'application EP2022062262
Numéro de publication 2022/243065
Statut Délivré - en vigueur
Date de dépôt 2022-05-06
Date de publication 2022-11-24
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM UNITED KINGDOM LIMITED (Royaume‑Uni)
Inventeur(s)
  • Gadge, Vaibhav
  • Hockett, Hugh

Abrégé

A processor may identify an action of a first device of the IoT devices. The processor may initiate a transfer from the first device to one or more other devices of the IoT devices. The processor may pause each thread being executed by the first device and the one or more other devices. The processor may transfer a unit from the first device to the one or more other devices.

Classes IPC  ?

  • G06F 9/48 - Lancement de programmes; Commutation de programmes, p.ex. par interruption

58.

COMPUTER MODELING TO ANALYZE ELECTRICAL USAGE IN AN ELECTRICAL GRID FOR FACILITATING MANAGEMENT OF ELECTRICAL TRANSMISSION

      
Numéro d'application CN2022084349
Numéro de publication 2022/242334
Statut Délivré - en vigueur
Date de dépôt 2022-03-31
Date de publication 2022-11-24
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Bharti, Harish
  • Saxena, Rajesh Kumar
  • Hairiya, Jitendra
  • Sukhija, Sandeep

Abrégé

A model is generating for predicting energy workloads to adjust electrical energy supply to meet varying short-term energy demands at a microcosm level. A model is developed, using a computer, to facilitate predicting energy workloads for adjusting energy supplies to meet an energy demand. The model includes receiving, at the computer, input parameters of dynamic values of workloads as historical data, and generating a predictive model by analyzing the input parameters. The model further includes predicting short-term energy demands based on the predictive model, the predicted short-term energy demands include identifying a predicted peak value. Also, the model includes initiating short term energy output in an electrical grid to a transformer level component in the electrical grid based on the predicted short term energy demands.

Classes IPC  ?

  • H02J 3/00 - Circuits pour réseaux principaux ou de distribution, à courant alternatif

59.

GENERATIVE EXPERIMENTS FOR APPLICATION DEPLOYMENT IN 5G NETWORKS

      
Numéro d'application CN2022085466
Numéro de publication 2022/242350
Statut Délivré - en vigueur
Date de dépôt 2022-04-07
Date de publication 2022-11-24
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Srivatsa, Mudhakar
  • Verma, Dinesh C.
  • Sadagopan, Satish
  • Thomas, Mathews
  • Mangla, Utpal

Abrégé

A computer implemented method determines a placement of an application being added to a network. The method includes determining a logical-physical mapping for the application. Sub-graphs in the logical-physical mapping are identified. A stored application in a catalog of applications previously used in the network is located. The stored application includes one of the sub-graphs in the logical-physical mapping. An experiment is generated, performed by a computing device running a neural network model, using the sub-graphs. The experiment includes inducing a physical node mapping for the sub-graph. A cost function associated with a placement of the application being added to the network to one or more physical nodes in the induced physical node mapping is determined.

Classes IPC  ?

60.

IN-MEMORY COMPUTATION IN HOMOMORPHIC ENCRYPTION SYSTEMS

      
Numéro d'application IB2022054255
Numéro de publication 2022/243781
Statut Délivré - en vigueur
Date de dépôt 2022-05-08
Date de publication 2022-11-24
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM ISRAEL - SCIENCE & TECHNOLOGY LTD (Israël)
  • IBM (CHINA) INVESTMENT COMPANY LTD (Chine)
Inventeur(s)
  • Sasidharan Rajalekshmi, Nandakumar
  • Eleftheriou, Evangelos Stavros
  • Bergamaschi, Flavio A.

Abrégé

In an approach, a process stores a matrix of multibit values for a computation in an analog multiply-accumulate unit including at least one crossbar array of binary analog memory cells connected between respective pairs of word- and bit-lines of the array, where: bits of each multibit value are stored in cells connected along a word-line, and corresponding bits of values in a column of the matrix are stored in cells connected along a bit-line. In each of one or more computation stages for a cryptographic element, the process supplies a set of polynomial coefficients of an element bitwise to respective word-lines of the unit to obtain analog accumulation signals on the respective bit-lines. The process converts the analog signals to digital. The process processes the digital signals obtained from successive bits of the polynomial coefficients in each of the stages to obtain a computation result for the cryptographic element.

Classes IPC  ?

  • G06F 7/544 - Méthodes ou dispositions pour effectuer des calculs en utilisant exclusivement une représentation numérique codée, p.ex. en utilisant une représentation binaire, ternaire, décimale utilisant des dispositifs non spécifiés pour l'évaluation de fonctions par calcul

61.

SIGNING AND AUTHENTICATION OF DIGITAL IMAGES AND OTHER DATA ARRAYS

      
Numéro d'application IB2022053812
Numéro de publication 2022/243766
Statut Délivré - en vigueur
Date de dépôt 2022-04-25
Date de publication 2022-11-24
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) INVESTMENT COMPANY LTD. (Chine)
  • IBM ISRAEL - SCIENCE & TECHNOLOGY LTD. (Israël)
Inventeur(s)
  • Monney, Serge
  • Ivankay, Adam
  • Giovannini, Andrea

Abrégé

Computer-implemented methods and systems are provided for digitally signing predetermined arrays of digital data. Such a method may provide a secret neural network model trained to classify arrays of digital data in dependence on data content of the arrays. The array of the arrays may be signed by supplying the array to the secret neural network model to obtain an initial classification result; and effecting a modification of data in the array to change the initial classification result to a predetermined, secret classification result, the modification being effected via a backpropagation process in the secret neural network model to progressively modify the array in response to backpropagated errors dependent on a difference between a current classification result for the array and the secret classification result.

Classes IPC  ?

  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
  • G06F 21/60 - Protection de données

62.

RRAM filament location based on NIR emission

      
Numéro d'application 17072810
Numéro de brevet 11508438
Statut Délivré - en vigueur
Date de dépôt 2020-10-16
Date de la première publication 2022-11-22
Date d'octroi 2022-11-22
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Stellari, Franco
  • Ando, Takashi
  • Cabral, Jr., Cyril
  • Cartier, Eduard Albert
  • Frank, Martin Michael
  • Song, Peilin
  • Pfeiffer, Dirk

Abrégé

Methods and systems for locating a filament in a resistive memory device are described. In an example, a device can acquire an image indicating an occurrence of photoemission from the resistive memory device. The device can determine a location of the filament in a switching medium of the resistive memory device using the acquired image.

Classes IPC  ?

  • G11C 11/00 - Mémoires numériques caractérisées par l'utilisation d'éléments d'emmagasinage électriques ou magnétiques particuliers; Eléments d'emmagasinage correspondants
  • G11C 13/00 - Mémoires numériques caractérisées par l'utilisation d'éléments d'emmagasinage non couverts par les groupes , ou

63.

Reducing semantic errors in code generated by machine learning models

      
Numéro d'application 17347624
Numéro de brevet 11507352
Statut Délivré - en vigueur
Date de dépôt 2021-06-15
Date de la première publication 2022-11-22
Date d'octroi 2022-11-22
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Dolby, Julian Timothy
  • Hirzel, Martin
  • Kate, Kiran A
  • Mandel, Louis
  • Shinnar, Avraham Ever
  • Srinivas, Kavitha

Abrégé

Embodiments are disclosed for a method. The method includes identifying a prefix updated by a searcher of a machine learning model. The machine learning model is configured to generate source code in a programming language. The method also includes determining whether the prefix violates a semantic correctness property of the programming language. Additionally, the method includes instructing the searcher, in response to the determination, to prune the prefix from a set of prefixes under consideration by the searcher.

Classes IPC  ?

  • G06F 9/44 - Dispositions pour exécuter des programmes spécifiques
  • G06F 8/41 - Compilation
  • G06N 3/08 - Méthodes d'apprentissage
  • G06F 11/36 - Prévention d'erreurs en effectuant des tests ou par débogage de logiciel
  • G06F 8/35 - Création ou génération de code source fondée sur un modèle
  • G06N 3/04 - Architecture, p.ex. topologie d'interconnexion

64.

Adapting pre-compiled eBPF programs at runtime for the host kernel by offset inference

      
Numéro d'application 17375088
Numéro de brevet 11507353
Statut Délivré - en vigueur
Date de dépôt 2021-07-14
Date de la première publication 2022-11-22
Date d'octroi 2022-11-22
Propriétaire International Business Machines Corporation (USA)
Inventeur(s) Soeters, Wilhelmus Franciscus Hieronymus

Abrégé

An approach is provided in which a method, system, and computer program product load a first program and a second program on a target host that includes a host kernel. The first program and the second program are both pre-compiled on a build system that is different from the target host. The method, system, and computer program product execute at least a subset of the first program on the host kernel and the subset of the first program captures a set of kernel structure information from the host kernel. The method, system, and program product load, at the target host, the set of kernel structure information into the second program at one or more placeholder locations. Then, the method, system and program product execute at least a subset of the second program with the set of kernel structure information on the target kernel.

Classes IPC  ?

  • G06F 8/41 - Compilation
  • G06F 9/54 - Communication interprogramme
  • G06F 8/60 - Déploiement de logiciel
  • G06F 9/445 - Chargement ou démarrage de programme
  • G06F 9/34 - Adressage de l'opérande d'instruction ou du résultat ou accès à l'opérande d'instruction ou au résultat

65.

WATSON ORDERS

      
Numéro d'application 1696185
Statut Enregistrée
Date de dépôt 2022-07-18
Date d'enregistrement 2022-07-18
Propriétaire International Business Machines Corporation (USA)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 35 - Publicité; Affaires commerciales
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Computers; quantum computers; computer hardware and software; computer hardware and software for information technology analysis and data management; computer hardware and software for application development; computer hardware and software for cloud computing; computer hardware and software for cognitive computing; computer hardware and software for artificial intelligence; computer hardware and software for blockchain technology; computer hardware and software for quantum computing and quantum programming; computer hardware, namely, magnetic tape units (data processing), magnetic tapes, printed circuits, integrated circuits, computer keyboards, compact discs (audio-video), optical disks, couplers (data processing), floppy disks, magnetic data media; computer hardware, namely, video screens, scanners, computer printers, interfaces (data processing), readers (data processing), software (recorded programs), microprocessors, modems, monitors (hardware), computers, computer memories, computer peripherals; computer adapters; computer components; data processing equipment; computer equipment for data and information management; semiconductors; machine-readable electronic data media; magnetic disks; hard disk drives; tape recorders; calculating machines; cash registers; facsimile machines; video recorders; videotapes; electric cells and electric batteries; computer chips; boards for integrated circuits; computer accessories, namely, computer communication servers; computer carrying cases; interface cards for computers; computer cables and computer cable parts; fax modem cards for computers; computer accessories, namely, screen filters, computer mouse pads, pagers, computer controllers; electric converters, namely, digital-to-analog, analog-to-digital and step-by-step voltage steppers; computer mice; integrated circuit cards and smart cards, adapters for integrated circuits and adapters for smart cards; readers for integrated circuit cards and smart cards; microcomputers; electric power supply apparatus; projectors (projection apparatus); remote controllers for computers; inverters, surge protectors and uninterruptible power supplies; point-of-sale terminals; computer servers; computer storage devices, namely high-speed storage subsystems for storage and backup of electronic data either locally or via a telecommunication network; recorded and downloadable computer programs and software; video game software; operating system software and programs; software for accessing a global computer network; document management software; database management software; software for locating, recovering and receiving text, electronic documents, graphic illustrations and audiovisual information on company-scale internal computer networks and on local, wide-area and global computer networks; software for developing and software for designing websites and user manuals, in electronic format, sold as a set; computer software for controlling the operations and execution of computer systems, programs and computer networks; computer software for connecting disparate computer networks and systems, servers and storage devices; computer programs for linking computers together and for enabling computer activities across a global computer network; computer software for managing systems, software and processes existing within an information technology environment; computer systems combining computer hardware and software for use in management and analysis of data and instruction manuals in electronic format sold with these products; cloud computing systems, namely networks integrating computer hardware and software for dynamic provisioning, virtualization and consumption metering of computer resources; recorded and downloadable cloud-computing software for deploying and managing virtual machines to a cloud computing platform; computer systems, namely, computer hardware and computer software for developing and integrating artificial intelligence, namely, machine learning, deep learning and natural language processing which are capable of collecting, organizing and analyzing data; computer systems, namely computer hardware and computer software that integrate Natural Language Processing (NLP), Computational Linguistics (CL), Information Retrieval (IR) and Machine Learning (ML) functions and capable of understanding general human queries and formulating responses; software for development, construction and operation of blockchain technology applications; computer hardware and computer software for developing and testing quantum algorithms; documentation and instruction manuals recorded on electronic data media that can be operated by machine and concerning computers or computer programs; electronic publications; electronic publications on computer media, namely, user manuals, guide books, brochures, information sheets, written presentations and teaching materials in the field of computing, computer networks, computer storage, computer operating systems, information technology, database management, cloud computing, artificial intelligence, blockchain technology and quantum computing. Advertising; sales promotion services (for third parties); commercial business management and advice regarding commercial business management; business information; distribution of prospectuses; distribution of samples; arranging newspaper subscriptions for others; accounting; document reproduction; systematization of data in a central file; organization of exhibitions for commercial or advertising purposes; company management consulting services and commercial business consulting services; commercial business development service; market study statistic and data analysis; computer data processing services; computer data processing services for artificial intelligence; computer data processing services for cognitive computing; computer data processing services for cloud computing; computer data processing services for blockchain technology; computer data processing services for data management; computer data processing services for quantum computing and quantum programming; setting up and conducting commercial exhibitions in the field of computers, computer services, information technology, artificial intelligence, cloud computing, blockchain technology, quantum computing, database management and electronic business transactions via a global computer network; business consulting services for companies regarding artificial intelligence; business consulting services for companies regarding computer systems that integrate Natural Language Processing (NLP), Computational Linguistics (CL), Information Retrieval (IR) and Machine Learning (ML) functions and capable of understanding general human queries and formulating responses; business consulting services for companies relating to cloud computing; business consulting services for companies regarding blockchain technology; business consulting services for companies regarding quantum computing, quantum programming and for developing and testing quantum algorithms; business consulting services for companies regarding information technology; analyzing and compiling business data; systemization of data in computer databases. Computer programming; Software as a Service (SaaS) services featuring software for data management; software as a service (SaaS) services featuring software for cloud computing; software as a service (SaaS) services featuring software for artificial intelligence; software as a service (SaaS) services featuring software for cognitive computing; software as a service (SaaS) services featuring software for blockchain technology; software as a service (SaaS) services featuring software for quantum computing and quantum programming; software as a service (SaaS) services featuring software for constructing, analyzing and running quantum programs and quantum algorithms; software as a service (SaaS) services featuring software for developing and testing quantum algorithms; computer programming and computer consulting services for artificial intelligence; computer programming and computer consulting services for cognitive computing; computer programming and computer consulting services for information management; computer programming and computer consulting services for data management; computer programming and computer consulting services for cloud computing; computer programming and computer consulting services for blockchain technology; computer programming and computer consulting services for quantum computing; computer programming and computer consulting services for software as a service (SaaS); design, installation, updating and maintenance of software; design of computer software and hardware for third parties and consulting services in the field of computers; technical support services, namely, solving problems with computer software and programs; computer services, namely, design, creation and maintenance of websites for third parties; analysis of computer systems, integration of computer networks and databases, computer programming for third parties, all relating to commercial interactions on global computer networks; design of computer and software interconnection systems, namely, electronic interconnection of computers and software; testing of computer programs (software) and computer hardware (quality control and technical control); technical project studies in the field of computer hardware and software; computer consulting in connection with computer hardware, namely consulting in computer research and development; computer advice and assistance concerning Internet use; rental of computers and software; scientific and industrial research, namely research and development of new products, biological research, bacteriological research, chemical research, cosmetology research, mechanical research, geological research, technical research, pharmaceutical research, scientific research for medical purposes; information technology services; computer system integration services; consulting services in the field of design, selection, implementation and use of computer and software systems for third parties; technical support services, namely, diagnosing problems with computer hardware and computer programs; computer system design services for others; design of systems for interconnection of computers and computer programs, namely, integration of computer systems and computer networks; computer program and computer hardware testing services, namely testing of software, computers and servers to ensure proper functioning thereof; cloud computing services, namely, network integrated computer hardware and software services for dynamic provisioning, virtualization and consumption metering of computer resources; providing virtual computer systems and virtual computer environments through cloud computing; design and development of software for cloud storage of data; cloud computing hosting provider services; electronic data storage and data recovery services; data security service; computer support services rendered by computer specialists; design of computer hardware for computer networks; technical support services, namely, troubleshooting computer hardware problems.

66.

MEASURE YOUR CEILING

      
Numéro d'application 1696186
Statut Enregistrée
Date de dépôt 2022-07-22
Date d'enregistrement 2022-07-22
Propriétaire International Business Machines Corporation (USA)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 16 - Papier, carton et produits en ces matières
  • 35 - Publicité; Affaires commerciales
  • 41 - Éducation, divertissements, activités sportives et culturelles
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Computers; quantum computers; computer hardware and software; computer hardware and software for information technology analysis and data management; computer hardware and software for application development; computer hardware and software for cloud computing; computer hardware and software for cognitive computing; computer hardware and software for artificial intelligence; computer hardware and software for blockchain technology; computer hardware and software for quantum computing and quantum programming; computer hardware, namely, magnetic tape units (data processing), magnetic tapes, printed circuits, integrated circuits, computer keyboards, compact discs (audio-video), optical disks, couplers (data processing), floppy disks, magnetic data media; computer hardware, namely, video screens, scanners, computer printers, interfaces (data processing), readers (data processing), software (recorded programs), microprocessors, modems, monitors (hardware), computers, computer memories, computer peripherals; computer adapters; computer components; data processing equipment; computer equipment for data and information management; semiconductors; machine-readable electronic data media; magnetic disks; hard disk drives; tape recorders; calculating machines; cash registers; facsimile machines; video recorders; videotapes; electric cells and electric batteries; computer chips; boards for integrated circuits; computer accessories, namely, computer communication servers; computer carrying cases; interface cards for computers; computer cables and computer cable parts; fax modem cards for computers; computer accessories, namely, screen filters, computer mouse pads, pagers, computer controllers; electric converters, namely, digital-to-analog, analog-to-digital and step-by-step voltage steppers; computer mice; integrated circuit cards and smart cards, adapters for integrated circuits and adapters for smart cards; readers for integrated circuit cards and smart cards; microcomputers; electric power supply apparatus; projectors (projection apparatus); remote controllers for computers; inverters, surge protectors and uninterruptible power supplies; point-of-sale terminals; computer servers; computer storage devices, namely high-speed storage subsystems for storage and backup of electronic data either locally or via a telecommunication network; recorded and downloadable computer programs and software; video game software; operating system software and programs; software for accessing a global computer network; document management software; database management software; software for locating, recovering and receiving text, electronic documents, graphic illustrations and audiovisual information on company-scale internal computer networks and on local, wide-area and global computer networks; software for developing and software for designing websites and user manuals, in electronic format, sold as a set; computer software for controlling the operations and execution of computer systems, programs and computer networks; computer software for connecting disparate computer networks and systems, servers and storage devices; computer programs for linking computers together and for enabling computer activities across a global computer network; computer software for managing systems, software and processes existing within an information technology environment; computer systems combining computer hardware and software for use in management and analysis of data and instruction manuals in electronic format sold with these products; cloud computing systems, namely networks integrating computer hardware and software for dynamic provisioning, virtualization and consumption metering of computer resources; recorded and downloadable cloud-computing software for deploying and managing virtual machines to a cloud computing platform; computer systems, namely, computer hardware and computer software for developing and integrating artificial intelligence, namely, machine learning, deep learning and natural language processing which are capable of collecting, organizing and analyzing data; computer systems, namely computer hardware and computer software that integrate Natural Language Processing (NLP), Computational Linguistics (CL), Information Retrieval (IR) and Machine Learning (ML) functions and capable of understanding general human queries and formulating responses; software for development, construction and operation of blockchain technology applications; computer hardware and computer software for developing and testing quantum algorithms; documentation and instruction manuals recorded on electronic data media that can be operated by machine and concerning computers or computer programs; electronic publications; electronic publications on computer media, namely, user manuals, guide books, brochures, information sheets, written presentations and teaching materials in the field of computing, computer networks, computer storage, computer operating systems, information technology, database management, cloud computing, artificial intelligence, blockchain technology and quantum computing. Instructional and teaching material (except apparatus); printed publications and documentation concerning computers and computer programs; handbooks [manuals]; printed publications; books; magazines; periodicals; newspapers; printed matter; printed matter relating to computer equipment, software and related services; manuals, brochures, magazines, newsletters, newspaper inserts, booklets, all in the fields of software, computers, computer system hardware, network hardware, telecommunications, information technology, artificial intelligence, cloud computing, blockchain technology, quantum computing and quantum programming, word processing, database management, multimedia, entertainment equipment and e-commerce. Advertising; sales promotion services (for third parties); commercial business management and advice regarding commercial business management; business information; distribution of prospectuses; distribution of samples; arranging newspaper subscriptions for others; accounting; document reproduction; systematization of data in a central file; organization of exhibitions for commercial or advertising purposes; company management consulting services and commercial business consulting services; commercial business development service; market study statistic and data analysis; computer data processing services; computer data processing services for artificial intelligence; computer data processing services for cognitive computing; computer data processing services for cloud computing; computer data processing services for blockchain technology; computer data processing services for data management; computer data processing services for quantum computing and quantum programming; setting up and conducting commercial exhibitions in the field of computers, computer services, information technology, artificial intelligence, cloud computing, blockchain technology, quantum computing, database management and electronic business transactions via a global computer network; business consulting services for companies regarding artificial intelligence; business consulting services for companies regarding computer systems that integrate Natural Language Processing (NLP), Computational Linguistics (CL), Information Retrieval (IR) and Machine Learning (ML) functions and capable of understanding general human queries and formulating responses; business consulting services for companies relating to cloud computing; business consulting services for companies regarding blockchain technology; business consulting services for companies regarding quantum computing, quantum programming and for developing and testing quantum algorithms; business consulting services for companies regarding information technology; analyzing and compiling business data; systemization of data in computer databases. Education; entertainment; training; organization and conducting of conferences, seminars and congresses; organization of exhibitions for cultural or educational purposes; production of radio and television programs; sporting and cultural activities; educational services, namely organization and conducting of classes, seminars, conferences, webinars and workshops in the field of computers, computer services, information technology, artificial intelligence, cloud computing, blockchain technology, quantum computing, database management, image and audio processing technology, global computer and telecommunication networks; training in the field of computers, computer services, information technology, artificial intelligence, cloud computing, blockchain technology, quantum computing, database management, image and audio processing technology, global computer and telecommunication networks; conducting entertainment exhibitions in the nature of information technology demonstrations; entertainment services, namely, online computer game services; conducting entertainment exhibitions, namely, real-time athletic competitions via a global computer network; conducting entertainment exhibitions, namely, providing demonstrations on web-sites featuring museum exhibitions, sporting events, art gallery exhibitions, concerts, and musical recordings; editing of books and journals; show and film production; conducting of exhibitions for cultural or educational purposes; booking of seats for shows. Computer programming; Software as a Service (SaaS) services featuring software for data management; software as a service (SaaS) services featuring software for cloud computing; software as a service (SaaS) services featuring software for artificial intelligence; software as a service (SaaS) services featuring software for cognitive computing; software as a service (SaaS) services featuring software for blockchain technology; software as a service (SaaS) services featuring software for quantum computing and quantum programming; software as a service (SaaS) services featuring software for constructing, analyzing and running quantum programs and quantum algorithms; software as a service (SaaS) services featuring software for developing and testing quantum algorithms; computer programming and computer consulting services for artificial intelligence; computer programming and computer consulting services for cognitive computing; computer programming and computer consulting services for information management; computer programming and computer consulting services for data management; computer programming and computer consulting services for cloud computing; computer programming and computer consulting services for blockchain technology; computer programming and computer consulting services for quantum computing; computer programming and computer consulting services for software as a service (SaaS); design, installation, updating and maintenance of software; design of computer software and hardware for third parties and consulting services in the field of computers; technical support services, namely, solving problems with computer software and programs; computer services, namely, design, creation and maintenance of websites for third parties; analysis of computer systems, integration of computer networks and databases, computer programming for third parties, all relating to commercial interactions on global computer networks; design of computer and software interconnection systems, namely, electronic interconnection of computers and software; testing of computer programs (software) and computer hardware (quality control and technical control); technical project studies in the field of computer hardware and software; computer consulting in connection with computer hardware, namely consulting in computer research and development; computer advice and assistance concerning Internet use; rental of computers and software; scientific and industrial research, namely research and development of new products, biological research, bacteriological research, chemical research, cosmetology research, mechanical research, geological research, technical research, pharmaceutical research, scientific research for medical purposes; information technology services; computer system integration services; consulting services in the field of design, selection, implementation and use of computer and software systems for third parties; technical support services, namely, diagnosing problems with computer hardware and computer programs; computer system design services for others; design of systems for interconnection of computers and computer programs, namely, integration of computer systems and computer networks; computer program and computer hardware testing services, namely testing of software, computers and servers to ensure proper functioning thereof; cloud computing services, namely, network integrated computer hardware and software services for dynamic provisioning, virtualization and consumption metering of computer resources; providing virtual computer systems and virtual computer environments through cloud computing; design and development of software for cloud storage of data; cloud computing hosting provider services; electronic data storage and data recovery services; data security service; computer support services rendered by computer specialists; design of computer hardware for computer networks; technical support services, namely, troubleshooting computer hardware problems.

67.

IBM SECURITY REAQTA

      
Numéro d'application 1696189
Statut Enregistrée
Date de dépôt 2022-08-01
Date d'enregistrement 2022-08-01
Propriétaire International Business Machines Corporation (USA)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 35 - Publicité; Affaires commerciales
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Computers; quantum computers; computer hardware and software; computer hardware and software for information technology analysis and data management; computer hardware and software for application development; computer hardware and software for cloud computing; computer hardware and software for cognitive computing; computer hardware and software for artificial intelligence; computer hardware and software for blockchain technology; computer hardware and software for quantum computing and quantum programming; computer hardware, namely, magnetic tape units (data processing), magnetic tapes, printed circuits, integrated circuits, computer keyboards, compact discs (audio-video), optical disks, couplers (data processing), floppy disks, magnetic data media; computer hardware, namely, video screens, scanners, computer printers, interfaces (data processing), readers (data processing), software (recorded programs), microprocessors, modems, monitors (hardware), computers, computer memories, computer peripherals; computer adapters; computer components; data processing equipment; computer equipment for data and information management; semiconductors; machine-readable electronic data media; magnetic disks; hard disk drives; tape recorders; calculating machines; cash registers; facsimile machines; video recorders; videotapes; electric cells and electric batteries; computer chips; boards for integrated circuits; computer accessories, namely, computer communication servers; computer carrying cases; interface cards for computers; computer cables and computer cable parts; fax modem cards for computers; computer accessories, namely, screen filters, computer mouse pads, pagers, computer controllers; electric converters, namely, digital-to-analog, analog-to-digital and step-by-step voltage steppers; computer mice; integrated circuit cards and smart cards, adapters for integrated circuits and adapters for smart cards; readers for integrated circuit cards and smart cards; microcomputers; electric power supply apparatus; projectors (projection apparatus); remote controllers for computers; inverters, surge protectors and uninterruptible power supplies; point-of-sale terminals; computer servers; computer storage devices, namely high-speed storage subsystems for storage and backup of electronic data either locally or via a telecommunication network; recorded and downloadable computer programs and software; video game software; operating system software and programs; software for accessing a global computer network; document management software; database management software; software for locating, recovering and receiving text, electronic documents, graphic illustrations and audiovisual information on company-scale internal computer networks and on local, wide-area and global computer networks; software for developing and software for designing websites and user manuals, in electronic format, sold as a set; computer software for controlling the operations and execution of computer systems, programs and computer networks; computer software for connecting disparate computer networks and systems, servers and storage devices; computer programs for linking computers together and for enabling computer activities across a global computer network; computer software for managing systems, software and processes existing within an information technology environment; computer systems combining computer hardware and software for use in management and analysis of data and instruction manuals in electronic format sold with these products; cloud computing systems, namely networks integrating computer hardware and software for dynamic provisioning, virtualization and consumption metering of computer resources; recorded and downloadable cloud-computing software for deploying and managing virtual machines to a cloud computing platform; computer systems, namely, computer hardware and computer software for developing and integrating artificial intelligence, namely, machine learning, deep learning and natural language processing which are capable of collecting, organizing and analyzing data; computer systems, namely computer hardware and computer software that integrate Natural Language Processing (NLP), Computational Linguistics (CL), Information Retrieval (IR) and Machine Learning (ML) functions and capable of understanding general human queries and formulating responses; software for development, construction and operation of blockchain technology applications; computer hardware and computer software for developing and testing quantum algorithms; documentation and instruction manuals recorded on electronic data media that can be operated by machine and concerning computers or computer programs; electronic publications; electronic publications on computer media, namely, user manuals, guide books, brochures, information sheets, written presentations and teaching materials in the field of computing, computer networks, computer storage, computer operating systems, information technology, database management, cloud computing, artificial intelligence, blockchain technology and quantum computing. Advertising; sales promotion services (for third parties); commercial business management and advice regarding commercial business management; business information; distribution of prospectuses; distribution of samples; arranging newspaper subscriptions for others; accounting; document reproduction; systematization of data in a central file; organization of exhibitions for commercial or advertising purposes; company management consulting services and commercial business consulting services; commercial business development service; market study statistic and data analysis; computer data processing services; computer data processing services for artificial intelligence; computer data processing services for cognitive computing; computer data processing services for cloud computing; computer data processing services for blockchain technology; computer data processing services for data management; computer data processing services for quantum computing and quantum programming; setting up and conducting commercial exhibitions in the field of computers, computer services, information technology, artificial intelligence, cloud computing, blockchain technology, quantum computing, database management and electronic business transactions via a global computer network; business consulting services for companies regarding artificial intelligence; business consulting services for companies regarding computer systems that integrate Natural Language Processing (NLP), Computational Linguistics (CL), Information Retrieval (IR) and Machine Learning (ML) functions and capable of understanding general human queries and formulating responses; business consulting services for companies relating to cloud computing; business consulting services for companies regarding blockchain technology; business consulting services for companies regarding quantum computing, quantum programming and for developing and testing quantum algorithms; business consulting services for companies regarding information technology; analyzing and compiling business data; systemization of data in computer databases. Computer programming; Software as a Service (SaaS) services featuring software for data management; software as a service (SaaS) services featuring software for cloud computing; software as a service (SaaS) services featuring software for artificial intelligence; software as a service (SaaS) services featuring software for cognitive computing; software as a service (SaaS) services featuring software for blockchain technology; software as a service (SaaS) services featuring software for quantum computing and quantum programming; software as a service (SaaS) services featuring software for constructing, analyzing and running quantum programs and quantum algorithms; software as a service (SaaS) services featuring software for developing and testing quantum algorithms; computer programming and computer consulting services for artificial intelligence; computer programming and computer consulting services for cognitive computing; computer programming and computer consulting services for information management; computer programming and computer consulting services for data management; computer programming and computer consulting services for cloud computing; computer programming and computer consulting services for blockchain technology; computer programming and computer consulting services for quantum computing; computer programming and computer consulting services for software as a service (SaaS); design, installation, updating and maintenance of software; design of computer software and hardware for third parties and consulting services in the field of computers; technical support services, namely, solving problems with computer software and programs; computer services, namely, design, creation and maintenance of websites for third parties; analysis of computer systems, integration of computer networks and databases, computer programming for third parties, all relating to commercial interactions on global computer networks; design of computer and software interconnection systems, namely, electronic interconnection of computers and software; testing of computer programs (software) and computer hardware (quality control and technical control); technical project studies in the field of computer hardware and software; computer consulting in connection with computer hardware, namely consulting in computer research and development; computer advice and assistance concerning Internet use; rental of computers and software; scientific and industrial research, namely research and development of new products, biological research, bacteriological research, chemical research, cosmetology research, mechanical research, geological research, technical research, pharmaceutical research, scientific research for medical purposes; information technology services; computer system integration services; consulting services in the field of design, selection, implementation and use of computer and software systems for third parties; technical support services, namely, diagnosing problems with computer hardware and computer programs; computer system design services for others; design of systems for interconnection of computers and computer programs, namely, integration of computer systems and computer networks; computer program and computer hardware testing services, namely testing of software, computers and servers to ensure proper functioning thereof; cloud computing services, namely, network integrated computer hardware and software services for dynamic provisioning, virtualization and consumption metering of computer resources; providing virtual computer systems and virtual computer environments through cloud computing; design and development of software for cloud storage of data; cloud computing hosting provider services; electronic data storage and data recovery services; data security service; computer support services rendered by computer specialists; design of computer hardware for computer networks; technical support services, namely, troubleshooting computer hardware problems.

68.

PARAMETERIZED NEIGHBORHOOD MEMORY ADAPTATION

      
Numéro d'application 17244480
Statut En instance
Date de dépôt 2021-04-29
Date de la première publication 2022-11-17
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Jindal, Ishan
  • Li, Yunyao
  • Brahma, Siddhartha
  • Zhu, Huaiyu

Abrégé

Systems and techniques that facilitate parameterized neighborhood memory adaptation for semantic role labeling are provided. In various embodiments, a system can comprise a receiver component that can access a semantic role labeling model trained on a training dataset. In various aspects, the system can further comprise an execution component that can retrain a labeler of the semantic role labeling model based on a set of neighborhood parameters learned from the training dataset. In various instances, the execution component can execute, after retraining, the semantic role labeling model on an inputted sentence.

Classes IPC  ?

  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
  • G06K 9/72 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques utilisant une analyse de contexte basée sur l'identité provisoire attribuée à une série de formes successives, p.ex. d'un mot
  • G06F 40/30 - Analyse sémantique

69.

ARTICIAL INTELLIGENCE ENABLED OPEN SOURCE PROJECT ENABLER AND RECOMMENDATION PLATFORM

      
Numéro d'application 17302702
Statut En instance
Date de dépôt 2021-05-11
Date de la première publication 2022-11-17
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Vasireddy, Vamsi
  • Ghosh, Subir
  • Moyal, Shailendra
  • Karri, Venkata Vara Prasad
  • Dhoot, Akash U.

Abrégé

A method, computer system, and a computer program product for project development in a collaborative platform is provided. The present invention may include identifying one or more features of an open source project. The present invention may include analyzing the one or more features of the open source project and assigning a sentiment to each of the one or more features. The present invention may include generating a requirement mapping for the open source project, wherein the requirement mapping is a series of the one or more features.

Classes IPC  ?

  • G06F 8/10 - Analyse des exigences; Techniques de spécification
  • G06F 8/73 - Documentation de programme
  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
  • G06N 5/02 - Représentation de la connaissance
  • G06Q 10/10 - Bureautique, p.ex. gestion informatisée de courrier électronique ou logiciels de groupe; Gestion du temps, p.ex. calendriers, rappels, décompte de réunions ou de temps

70.

MRAM STRUCTURE WITH MULTILAYER ENCAPSULATION

      
Numéro d'application 17302766
Statut En instance
Date de dépôt 2021-05-12
Date de la première publication 2022-11-17
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Van Der Straten, Oscar
  • Motoyama, Koichi
  • Maniscalco, Joseph F.
  • Yang, Chih-Chao

Abrégé

A semiconductor structure may include a pyramidal magnetic tunnel junction on top of a bottom electrode, a tunnel layer on top and in electrical contact with the first magnetic layer, a second magnetic layer on top and in electrical contact with the tunnel layer, and a hard mask cap on top of the second magnetic layer. The pyramidal magnetic tunnel junction may have a first magnetic layer on top and in electrical contact with the bottom electrode. The semiconductor structure may include a first encapsulation spacer positioned along vertical sidewalls of the hard mask cap, a second encapsulation spacer positioned along vertical sidewalls of the second magnetic layer, a third encapsulation spacer positioned along vertical sidewalls of the tunnel layer, and a fourth encapsulation spacer positioned along vertical sidewalls of the first magnetic layer.

Classes IPC  ?

  • H01L 43/02 - Dispositifs utilisant les effets galvanomagnétiques ou des effets magnétiques analogues; Procédés ou appareils spécialement adaptés à la fabrication ou au traitement de ces dispositifs ou de leurs parties constitutives - Détails
  • H01L 27/22 - Dispositifs consistant en une pluralité de composants semi-conducteurs ou d'autres composants à l'état solide formés dans ou sur un substrat commun utilisant des effets de champ magnétique analogues
  • H01L 43/12 - Procédés ou appareils spécialement adaptés à la fabrication ou le traitement de ces dispositifs ou de leurs parties constitutives

71.

Tool for Introspection in Object-Oriented Source Code

      
Numéro d'application 17302931
Statut En instance
Date de dépôt 2021-05-17
Date de la première publication 2022-11-17
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Rehman, Syed Ataur
  • Rao, Shubha N

Abrégé

A computer-implemented method, computer system, and computer program product for introspection of classes within source code. A computing device receives access to object-oriented source code. The computing device parses the source code to determine one or more objects contained in the source code. The computing device determines one or more classes associated with the one or more objects. The computing device generates a class table including one or more class data points associated with the one or more determined classes. The computing device generates one or more source code methods to perform a class-level introspection based upon the generated class table.

Classes IPC  ?

  • G06F 8/30 - Création ou génération de code source

72.

Enabling Approximate Linkage of Datasets Over Quasi-Identifiers

      
Numéro d'application 17317036
Statut En instance
Date de dépôt 2021-05-11
Date de la première publication 2022-11-17
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Gkoulalas-Divanis, Aris
  • Zwarts, Christopher Lennard
  • Ricard, Denis

Abrégé

A mechanism is provided in a first client for approximate linkage of datasets over quasi-identifiers. The mechanism receives a generalization logic data structure representing sets of values for each quasi-identifier in a first dataset of the first client. For each record in the first dataset, the mechanism generates at least one generalization of a value of a given quasi-identifier in the first dataset based on a selected generalization logic data structure corresponding to the given quasi-identifier and generates a generalized record for each of the at least one generalization to form a first generalized dataset. The mechanism sends the first generalized dataset to a semi-trusted third party for approximate linkage of the first dataset with a second dataset of a second client, receives an approximate join result from the semi-trusted third party, performs post-processing on the approximate join result, and determines a final linkage result based on the post-processing.

Classes IPC  ?

  • G06F 21/62 - Protection de l’accès à des données via une plate-forme, p.ex. par clés ou règles de contrôle de l’accès
  • G06F 16/2455 - Exécution des requêtes
  • G06F 16/23 - Mise à jour
  • H04L 9/06 - Dispositions pour les communications secrètes ou protégées l'appareil de chiffrement utilisant des registres à décalage ou des mémoires pour le codage par blocs, p.ex. système DES
  • H04L 9/30 - Clé publique, c. à d. l'algorithme de chiffrement étant impossible à inverser par ordinateur et les clés de chiffrement des utilisateurs n'exigeant pas le secret

73.

Controlling Compartmental Flows in Epidemiological Modeling Based on Mobility Data

      
Numéro d'application 17318027
Statut En instance
Date de dépôt 2021-05-12
Date de la première publication 2022-11-17
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Gopalakrishnan, Vishrawas
  • Navalekar, Sayali
  • Kaufman, James H.
  • Bianco, Simone
  • Hu, Kun
  • Deshpande, Ajay Ashok
  • Kefayati, Sarah
  • Moramganti, Ujwal Reddy
  • Sirbu, George
  • Liu, Xuan
  • Srinivasan, Raman
  • Ding, Pan

Abrégé

Mechanisms are provided for compartmental epidemiological computer modeling based on mobility data. Machine learning training of an isolation rate prediction computer model is performed to generate a trained isolation rate prediction model that predicts an isolation rate of a biological population. Isolation data is received which comprises data indicating a measure of mobility of the biological population. The trained isolation rate prediction model is executed on input features extracted from the isolation data to generate a predicted isolation rate. A compartmental epidemiological computer model, comprising a plurality of compartments representing states of a population with regard to an infectious disease, is executed to simulate a progression of the infectious disease and flows of portions of the population from between compartments in the compartmental epidemiological computer model are controlled based on the predicted isolation rate.

Classes IPC  ?

  • G16H 50/80 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour la détection, le suivi ou la modélisation d’épidémies ou des pandémies, p.ex. de la grippe
  • G06N 20/00 - Apprentissage automatique
  • G16H 50/50 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour la simulation ou la modélisation des troubles médicaux

74.

BUILDING A FILE SYSTEM FOR MULTIPLE ARCHITECTURES

      
Numéro d'application 17319133
Statut En instance
Date de dépôt 2021-05-13
Date de la première publication 2022-11-17
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • He, Jin Chi Jc
  • Sui, Guang Han
  • Zhang, Ke
  • Gao, Yang
  • Ren, Yu Xing Yx
  • Wang, Liang

Abrégé

In an approach to building a file system for multiple architectures, responsive to receiving a manifest for a file system build, a base layer is retrieved for each platform to be built, where the base layer is an operating system base. Responsive to determining that any layer to be built has not been built, the next layer to be built is retrieved. Responsive to the next layer to be built is platform-independent, the next layer is retrieved from a cache, where the next layer supports each platform. Responsive to the next layer to be built is platform-dependent, the next layer is built, where a copy of the next layer is built for each platform. The above steps are iteratively repeated until each layer is built. A single image of a completed file system build is stored, where the single image supports each platform.

Classes IPC  ?

  • G06F 16/17 - Systèmes de fichiers; Serveurs de fichiers - Détails d’autres fonctions de systèmes de fichiers
  • G06F 16/11 - Administration des systèmes de fichiers, p.ex. détails de l’archivage ou d’instantanés
  • G06F 16/13 - Structures d’accès aux fichiers, p.ex. indices distribués

75.

FAST PORTING OF PROJECTS

      
Numéro d'application 17319450
Statut En instance
Date de dépôt 2021-05-13
Date de la première publication 2022-11-17
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Jia, Shuang Shuang
  • Chai, Yi
  • Li, Xiao-Yu
  • Zhao, Xin
  • Cao, Li
  • Deng, Jiangang
  • Fan, Hua Wei
  • Wen Ya, Zhou
  • Sun, Hong Wei

Abrégé

Aspects of the invention include systems and methods configured to efficiently evaluate the efforts of a code migration (e.g., porting task) between different platforms. A non-limiting example computer-implemented method includes receiving a function of a source platform. The function can include a plurality of fields. An initial vector is constructed for each of the plurality of fields. The initial vector encodes a value of the respective field according to an encoding rule. The initial vectors are merged into a single final vector and the final vector is classified into one of a plurality of system function families of the source platform. A vector of a target platform at a minimum distance to the final vector is identified and an assessment is provided that includes a difficulty in porting a project comprising the function between the source platform and the target platform based at least in part on the minimum distance.

Classes IPC  ?

  • G06F 8/76 - Adaptation d’un code de programme pour fonctionner dans un environnement différent; Portage
  • G06F 8/77 - Métriques logicielles
  • G06F 8/40 - Transformation de programme

76.

ASSOCIATION RULE MINING

      
Numéro d'application 17319774
Statut En instance
Date de dépôt 2021-05-13
Date de la première publication 2022-11-17
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Barbas, Pedro Miguel
  • Kelly, David
  • Liu, Clara
  • Cialini, Enzo
  • Bashyam, Manohar

Abrégé

Embodiments of the present invention provide systems and methods for associating rule mining. By way of example, embodiments obviate or mitigate performance and stability problems associated with conventional association rule mining approaches, by proposing concepts implementing association rule mining using rolling filtering bitmaps over dynamic data.

Classes IPC  ?

  • G06F 16/26 - Exploration de données visuelles; Navigation dans des données structurées

77.

PRODUCT FEATURES MAP

      
Numéro d'application 17320124
Statut En instance
Date de dépôt 2021-05-13
Date de la première publication 2022-11-17
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Lin, June-Ray
  • Chen, Nan
  • Liu, Ju Ling
  • Wang, Li Na
  • Wu, Shun Xian

Abrégé

Content for products can be identified. For each identified content, at least one class to which the first content pertains can be predicted using an artificial intelligence multiclass model. For each identified first content that corresponds to the at least one class, a support level of the product with regard to at least one class can be predicted using artificial intelligence binary class models. For each identified product, data indicating the product and the support level of the product with regard to the at least one class can be added to a data table. A product features map based on the data indicating the products and a support level of each product with regard to the at least one class can be generated and output.

Classes IPC  ?

  • G06F 16/951 - Indexation; Techniques d’exploration du Web
  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
  • G06N 20/10 - Apprentissage automatique utilisant des méthodes à noyaux, p.ex. séparateurs à vaste marge [SVM]

78.

HYBRID MEMORY MIRRORING USING STORAGE CLASS MEMORY

      
Numéro d'application 17320269
Statut En instance
Date de dépôt 2021-05-14
Date de la première publication 2022-11-17
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Heyrman, Peter J.
  • Stanton, David A. Larson
  • Maule, Warren E.
  • Mcpadden, Adam J.

Abrégé

In an approach a request to write data to memory is received, wherein the memory includes: a first set of dynamic random-access memory (DRAM) accessible via a first memory channel, and a first set of storage class (SCM) memory accessible via a second memory channel. The data is written to the first set of DRAM via the first memory channel. The data is mirrored to the first set of SCM via the second memory channel.

Classes IPC  ?

  • G06F 3/06 - Entrée numérique à partir de, ou sortie numérique vers des supports d'enregistrement

79.

PROVIDING FOR MULTI-PROCESS LOG DEBUG WITHOUT RUNNING ON A PRODUCTION ENVIRONMENT

      
Numéro d'application 17320303
Statut En instance
Date de dépôt 2021-05-14
Date de la première publication 2022-11-17
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Chen, Xiao Ling
  • Ye, Qi
  • Huang, Wen Ji
  • Wang, Heng
  • Zhang, Kui

Abrégé

Methods, computer program products, and/or systems are provided that perform the following operations: determining that a log multi-process debug mode is specified; obtaining a log file for debugging a source code, wherein the log file includes a plurality of log records; inserting a plurality of process identifier fields into each current log record in the log file; inserting a new log record into the log file for a created new process; and providing for performance of debugging for the source code based in part on the plurality of process identifier fields inserted into each current log record.

Classes IPC  ?

  • G06F 11/36 - Prévention d'erreurs en effectuant des tests ou par débogage de logiciel

80.

DYNAMIC DEGREE OF QUERY PARALLELISM OPTIMIZATION

      
Numéro d'application 17320510
Statut En instance
Date de dépôt 2021-05-14
Date de la première publication 2022-11-17
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Mehrotra, Gaurav
  • Zuzarte, Calisto
  • Rathore, Bhavesh
  • Iyer, Abhishek

Abrégé

Approaches presented herein enable dynamic optimization of a degree to which a query is parallelized for execution. More specifically, a priority associated with an obtained user query for execution is identified. A real-time metric indicating availability of one or more runtime resources is checked. An optimal degree of parallelism is calculated based on the priority associated with the obtained user query and the real-time availability metric. A plan is generated for executing the query using the calculated optimal degree of parallelism.

Classes IPC  ?

  • G06F 16/2453 - Optimisation des requêtes
  • G06F 9/50 - Allocation de ressources, p.ex. de l'unité centrale de traitement [UCT]
  • G06F 9/455 - Dispositions pour exécuter des programmes spécifiques Émulation; Interprétation; Simulation de logiciel, p.ex. virtualisation ou émulation des moteurs d’exécution d’applications ou de systèmes d’exploitation

81.

MARKOV PROCESSES USING ANALOG CROSSBAR ARRAYS

      
Numéro d'application 17321617
Statut En instance
Date de dépôt 2021-05-17
Date de la première publication 2022-11-17
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Squillante, Mark S.
  • Onen, Ogunzhan Murat
  • Gokmen, Tayfun
  • Kalantzis, Vasileios
  • Nowicki, Tomasz J.
  • Haensch, Wilfried
  • Horesh, Lior

Abrégé

A method is presented for computing an equilibrium distribution of Markov processes. The method includes storing weight values in an analog crossbar array of transition probability matrices, where the analog crossbar array of transition probability matrices represents a weight matrix with m rows and n columns, computing an eigenvector associated with a real eigenvalue of modulus one for each of the transition probability matrices, applying a gradient-based eigenvalue solver to converge to a dominant eigenpair, and determining a probability of changing from one state to another state in a stochastic entity based on outcomes of the gradient-based eigenvalue solver.

Classes IPC  ?

  • G06N 3/063 - Réalisation physique, c. à d. mise en oeuvre matérielle de réseaux neuronaux, de neurones ou de parties de neurones utilisant des moyens électroniques
  • G06F 17/16 - Calcul de matrice ou de vecteur
  • G06N 3/04 - Architecture, p.ex. topologie d'interconnexion
  • G06F 7/523 - Multiplication uniquement

82.

THERMALLY EFFICIENT ROUTE SELECTION

      
Numéro d'application 17321950
Statut En instance
Date de dépôt 2021-05-17
Date de la première publication 2022-11-17
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Perumalla, Saraswathi Sailaja
  • Karri, Venkata Vara Prasad
  • Rakshit, Sarbajit K.
  • Chettupalli, Swetha Sukeerthi

Abrégé

Provided are techniques for thermally efficient route selection. A request is received for a route for a vehicle to travel from a first geographic location to a second geographic location. Route data is retrieved for each of a plurality of routes, where the route data includes, for each portion of each route at a given time and day, air temperature adjacent to a road surface. Vehicle data is retrieved for the vehicle, where the vehicle data includes a desired temperature of an item being carried and a desired inlet air temperature. The route from the first geographic location to the second geographic location is determined using the route data and the vehicle data, where the route is thermally efficient. The vehicle is directed along the route, where the route specifies a lane from a plurality of lanes of a road for each portion of the route.

Classes IPC  ?

  • G01C 21/36 - Dispositions d'entrée/sortie pour des calculateurs embarqués
  • G01C 21/34 - Recherche d'itinéraire; Guidage en matière d'itinéraire
  • G06N 3/08 - Méthodes d'apprentissage

83.

MICROFLUIDIC CHIPS WITH ONE OR MORE VIAS

      
Numéro d'application 17813954
Statut En instance
Date de dépôt 2022-07-21
Date de la première publication 2022-11-17
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Smith, Joshua T.
  • Landers, William Francis
  • Winstel, Kevin
  • Wu, Teresa Jacqueline

Abrégé

Microfluidic chips that can comprise thin substrates and/or a high density of vias are described herein. An apparatus comprises: a silicon device layer comprising a plurality of vias, the plurality of vias comprising greater than or equal to about 100 vias per square centimeter of a surface of the silicon device layer and less than or equal to about 100,000 vias per square centimeter of the surface of the silicon device layer, and the plurality of vias extending through the silicon device layer; and a sealing layer bonded to the silicon device layer, wherein the sealing layer has greater rigidity than the silicon device layer. In some embodiments, the silicon device layer has a thickness between about 7 micrometers and about 500 micrometers while a via of the plurality of vias has a diameter between about 5 micrometers and about 5 millimeters.

Classes IPC  ?

  • B01L 3/00 - Récipients ou ustensiles pour laboratoires, p.ex. verrerie de laboratoire; Compte-gouttes
  • B81B 1/00 - Dispositifs sans éléments mobiles ou flexibles, p.ex. dispositifs capillaires microscopiques
  • B01D 15/34 - Séparation par sélection en fonction de la taille, p.ex. chromatographie d'exclusion de taille; Filtration sur gel; Perméation
  • G01N 27/447 - Systèmes utilisant l'électrophorèse

84.

NANOSHEET TRANSISTOR DEVICE WITH BOTTOM ISOLATION

      
Numéro d'application 17861960
Statut En instance
Date de dépôt 2022-07-11
Date de la première publication 2022-11-17
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Xie, Ruilong
  • Basker, Veeraraghavan S.
  • Greene, Andrew M.
  • Montanini, Pietro

Abrégé

A method of forming a nanosheet transistor device is provided. The method includes forming a segment stack of alternating intermediate sacrificial segments and nanosheet segments on a bottom sacrificial segment, wherein the segment stack is on a mesa and a nanosheet template in on the segment stack. The method further includes removing the bottom sacrificial layer to form a conduit, and forming a fill layer in the conduit and encapsulating at least a portion of the segment stack.

Classes IPC  ?

  • H01L 29/06 - Corps semi-conducteurs caractérisés par les formes, les dimensions relatives, ou les dispositions des régions semi-conductrices
  • H01L 21/02 - Fabrication ou traitement des dispositifs à semi-conducteurs ou de leurs parties constitutives
  • H01L 29/78 - Transistors à effet de champ l'effet de champ étant produit par une porte isolée
  • H01L 29/66 - Types de dispositifs semi-conducteurs

85.

INTEGRATION OF SELECTOR ON CONFINED PHASE CHANGE MEMORY

      
Numéro d'application 17876237
Statut En instance
Date de dépôt 2022-07-28
Date de la première publication 2022-11-17
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Kim, Wanki
  • Carta, Fabio
  • Lam, Chung H.
  • Bruce, Robert L.

Abrégé

A method for fabricating a semiconductor device includes forming air gaps within respective dielectric layer portions to reduce thermal cross-talk between adjacent bits. Each of the dielectric portions is formed on a substrate each adjacent to sidewall liners formed on sidewalls of a phase change memory (PCM) layer. The method further includes forming a pillar including the sidewall liners and the PCM layer, and forming a selector layer on the pillar and the dielectric portions.

Classes IPC  ?

  • H01L 45/00 - Dispositifs à l'état solide spécialement adaptés pour le redressement, l'amplification, la production d'oscillations ou la commutation, sans barrière de potentiel ni barrière de surface, p.ex. triodes diélectriques; Dispositifs à effet Ovshinsky; Procédés ou appareils spécialement adaptés à la fabrication ou au traitement de ces dispositifs ou de leurs parties constitutives
  • H01L 27/24 - Dispositifs consistant en une pluralité de composants semi-conducteurs ou d'autres composants à l'état solide formés dans ou sur un substrat commun comprenant des composants à l'état solide pour le redressement, l'amplification ou la commutation, sans barrière de potentiel ni barrière de surface

86.

PERFORMANCE- AND COST-EFFICIENT ARCHIVING OF SMALL OBJECTS

      
Numéro d'application 17876542
Statut En instance
Date de dépôt 2022-07-29
Date de la première publication 2022-11-17
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Ngo, Khanh V.
  • Sarafijanovic, Slavisa
  • Mueller-Wicke, Dominic
  • Lorenz, Simon
  • Seipp, Harald
  • Ishimoto, Takeshi

Abrégé

A method includes receiving a plurality of files where each file represents an object. The method further combines selected files of the plurality of files into an aggregation file and stores the aggregation file on low-latency storage media, such as disk storage media. The method represents the aggregation file with a single inode that is stored on the low-latency storage media. The method migrates the aggregate file to high-latency storage media, such as tape storage media, while leaving the single inode representing the aggregation file on the low-latency storage media. By collecting files into larger aggregation files, the number of files archived is significantly reduced and the files archived are of larger size. The reduced number of files and increased size of the files improves archival and retrieval performance due to reduced metadata operation overhead. A corresponding system and computer program product are also disclosed.

Classes IPC  ?

  • G06F 16/11 - Administration des systèmes de fichiers, p.ex. détails de l’archivage ou d’instantanés
  • G06F 16/185 - Systèmes de gestion de stockage hiérarchisé, p.ex. migration de fichiers ou politiques de migration de fichiers
  • G06F 3/06 - Entrée numérique à partir de, ou sortie numérique vers des supports d'enregistrement

87.

CREATING A VIRTUAL CONTEXT FOR A VOICE COMMAND

      
Numéro d'application IB2022053194
Numéro de publication 2022/238776
Statut Délivré - en vigueur
Date de dépôt 2022-04-06
Date de publication 2022-11-17
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM ISRAEL SCIENCE AND TECHNOLOGY LTD. (Israël)
  • IBM (CHINA) INVESTMENT COMPANY LTD. (Chine)
Inventeur(s)
  • Karri, Venkata Vara Prasad
  • Jain, Abhishek
  • Rakshit, Sarbajit
  • Shaik, Khader
  • Perumalla, Saraswathi

Abrégé

A method includes determining a plurality of voice assistance systems located in a plurality of environments and receiving, from a headset of a user, a voice command from the user. The voice command lacks an identifier for a first voice assistance system of the plurality of voice assistance systems in a first environment of the plurality of environments. The method also includes predicting, based on the voice command, a subset of the plurality of voice assistance systems for executing the voice command and communicating, to the headset, images of environments of the plurality of environments in which the subset of the plurality of voice assistance systems are located. The method further includes detecting that the user selected, from the images, an image of the first environment that contains the first voice assistance system and in response, communicating the voice command to the first voice assistance system.

Classes IPC  ?

  • G05B 15/02 - Systèmes commandés par un calculateur électriques
  • G05B 19/418 - Commande totale d'usine, c.à d. commande centralisée de plusieurs machines, p.ex. commande numérique directe ou distribuée (DNC), systèmes d'ateliers flexibles (FMS), systèmes de fabrication intégrés (IMS), productique (CIM)

88.

AGENTLESS INSTALLATION FOR BUILDING DEPLOYMENTS

      
Numéro d'application CN2022083748
Numéro de publication 2022/237361
Statut Délivré - en vigueur
Date de dépôt 2022-03-29
Date de publication 2022-11-17
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Tav, Doga
  • De Souza, Matthew
  • Tate, Geoffrey
  • Antonov, Nick
  • Barry, Alpha

Abrégé

A method, a computer program product, and a system for server provisioning and deployment. The method includes receiving a deployment configuration for a server. The deployment configuration includes a requested software build and a requested installation of an application and configuration for the server. The method also includes reconfiguring hardware on the server based on the deployment configuration and via an out-of-band management card on the server and pushing a boot loader on to the server for installation of an operating system. The method further includes performing an installation of the operating system on the server, transmitting an auto configuration file to the server. The auto configuration file provides installation properties relating to the application. The method also includes monitoring a status of the server during the installation of the application using a serial terminal output on the server.

Classes IPC  ?

  • H04L 41/00 - Dispositions pour la maintenance, l’administration ou la gestion des réseaux de commutation de données, p.ex. des réseaux de commutation de paquets

89.

CONTEXTUALIZED SPEECH TO TEXT CONVERSION

      
Numéro d'application CN2022084329
Numéro de publication 2022/237376
Statut Délivré - en vigueur
Date de dépôt 2022-03-31
Date de publication 2022-11-17
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Brink, Ryan
  • Freed, Andrew R.
  • Noel, Marco

Abrégé

Methods, computer program products, and systems are presented. The methods can include: determining, in performance of an interactive voice response (IVR) session(110), prompting data for presenting to a user, and storing(1081) text based data defining the prompting data into a data repository(108); presenting the prompting data to the user; receiving return voice string data from the user in response to the prompting data; generating(1105) a plurality of candidate text strings associated to the return voice string of the user; examining(1106) the text based data defining the prompting data; augmenting(1107) the plurality of candidate text strings in dependence on a result of the examining to provide a plurality of augmented candidate text strings associated to the return voice string data; and evaluating respective ones of the plurality of augmented candidate text strings associated to the return voice string data; and selecting(1108) one of the augmented candidate text strings as a returned transcription associated to the return voice string data.

Classes IPC  ?

  • G10L 15/26 - Systèmes de synthèse de texte à partir de la parole

90.

SKELETON-BASED ACTION RECOGNITION USING BI-DIRECTIONAL SPATIAL-TEMPORAL TRANSFORMER

      
Numéro d'application CN2022084747
Numéro de publication 2022/237383
Statut Délivré - en vigueur
Date de dépôt 2022-04-01
Date de publication 2022-11-17
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Wu, Bo
  • Gan, Chuang
  • Wang, Dakuo
  • Qian, Kaizhi

Abrégé

A bi-directional spatial-temporal transformer neural network (BDSTT) is trained to predict original coordinates of a skeletal joint in a specific frame through relative relationships of the skeletal joint to other joints and to the state of the skeletal joint in other frames. A plurality of frames comprising coordinates of the skeletal joint and coordinates of other joints are obtained. A spatially masked frame is produced by masking the original coordinates of the skeletal joint. The specific frame, the spatially masked frame, and at least one more frame are provided to a coordinate prediction head of the BDSTT. A prediction of coordinates for the skeletal joint is obtained from the coordinate prediction head. Parameters of the BDSTT are adjusted until a mean-squared error, between the prediction of coordinates for the skeletal joint and the original coordinates of the skeletal joint, converges.

Classes IPC  ?

  • G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
  • G06N 3/04 - Architecture, p.ex. topologie d'interconnexion

91.

DIRECT BONDED HETEROGENEOUS INTEGRATION SILICON BRIDGE

      
Numéro d'application EP2022061329
Numéro de publication 2022/238131
Statut Délivré - en vigueur
Date de dépôt 2022-04-28
Date de publication 2022-11-17
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM UNITED KINGDOM LIMITED (Royaume‑Uni)
Inventeur(s)
  • Sikka, Kamal
  • Cournoyer, Maryse
  • Gagnon, Pascale
  • Bureau, Charles
  • Dufort, Catherine
  • Mcherron, Dale Curtis
  • Khanna, Vijayeshwar Das
  • Bergendahl, Marc
  • Parekh, Dishit Paresh
  • Bonam, Ravi
  • Mori, Hiroyuki
  • Liu, Yang
  • Andry, Paul
  • De Sousa, Isabel

Abrégé

A direct bonded heterogeneous integration (DBHi) device includes a substrate including a trench formed in a top surface of the substrate. The DBHi device further includes a first chip coupled to the substrate on a first side of the trench by a plurality of first interconnects. The DBHi device further includes a second chip coupled to the substrate on a second side of the trench by a plurality of second interconnects. The second side of the trench is arranged opposite the first side of the trench. The DBHi device further includes a bridge coupled to the first chip and to the second chip by a plurality of third interconnects such that the bridge is suspended in the trench. The DBHi device further includes a non-conductive paste material surrounding the plurality of third interconnects to further couple the bridge to the first chip and to the second chip.

Classes IPC  ?

  • H01L 21/60 - Fixation des fils de connexion ou d'autres pièces conductrices, devant servir à conduire le courant vers le ou hors du dispositif pendant son fonctionnement
  • H01L 25/065 - Ensembles consistant en une pluralité de dispositifs à semi-conducteurs ou d'autres dispositifs à l'état solide les dispositifs étant tous d'un type prévu dans le même sous-groupe des groupes , p.ex. ensembles de diodes redresseuses les dispositifs n'ayant pas de conteneurs séparés les dispositifs étant d'un type prévu dans le groupe
  • H01L 21/98 - Assemblage de dispositifs consistant en composants à l'état solide formés dans ou sur un substrat commun; Assemblage de dispositifs à circuit intégré
  • H01L 23/16 - Matériaux de remplissage ou pièces auxiliaires dans le conteneur, p.ex. anneaux de centrage
  • H01L 23/13 - Supports, p.ex. substrats isolants non amovibles caractérisés par leur forme

92.

INSTANA

      
Numéro d'application 1695828
Statut Enregistrée
Date de dépôt 2022-08-17
Date d'enregistrement 2022-08-17
Propriétaire International Business Machines Corporation (USA)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Computers; quantum computers; computer hardware and software; computer hardware and software for information technology analysis and data management; computer hardware and software for application development; computer hardware and software for cloud computing; computer hardware and software for cognitive computing; computer hardware and software for artificial intelligence; computer hardware and software for blockchain technology; computer hardware and software for quantum computing and quantum programming; computer hardware, namely, magnetic tape units (data processing), magnetic tapes, printed circuits, integrated circuits, computer keyboards, compact discs (audio-video), optical disks, couplers (data processing), floppy disks, magnetic data media; computer hardware, namely, video screens, scanners (data processing equipment), computer printers, interfaces (data processing), readers (data processing), software (recorded programs), microprocessors, modems, monitors (hardware), computers, computer memories, computer peripherals; computer adapters; computer components; data processing equipment; computer equipment for data and information management; semiconductors; machine-readable electronic data media; magnetic disks; hard disk drives; tape recorders; calculating machines; cash registers; facsimile machines; video recorders; videotapes; electric cells and electric batteries; computer chips; boards for integrated circuits; computer accessories, namely, computer communication servers; computer carrying cases; interface cards for computers; computer cables and computer cable parts; fax modem cards for computers; computer accessories, namely, screen filters, computer mouse pads, pagers, computer controllers; electric converters, namely, digital-to-analog, analog-to-digital and step-by-step voltage steppers; computer mice; integrated circuit cards and smart cards, adapters for integrated circuits and adapters for smart cards; readers for integrated circuit cards and smart cards; microcomputers; electric power supply apparatus; projectors (projection apparatus); remote controllers for computers; inverters, surge protectors and uninterruptible power supplies; point-of-sale terminals; computer servers; computer storage devices, namely high-speed storage subsystems for storage and backup of electronic data either locally or via a telecommunication network; recorded and downloadable computer programs and software; video game software; operating system software and programs; software for accessing a global computer network; document management software; database management software; software for locating, recovering and receiving text, electronic documents, graphic illustrations and audiovisual information on company-scale internal computer networks and on local, wide-area and global computer networks; software for developing and software for designing websites and user manuals, in electronic format, sold as a set; computer software for controlling the operations and execution of computer systems, programs and computer networks; computer software for connecting disparate computer networks and systems, servers and storage devices; computer programs for linking computers together and for enabling computer activities across a global computer network; computer software for managing systems, software and processes existing within an information technology environment; computer systems combining computer hardware and software for use in management and analysis of data and instruction manuals in electronic format sold with these products; cloud computing systems, namely networks integrating computer hardware and software for dynamic provisioning, virtualization and consumption metering of computer resources; recorded and downloadable cloud-computing software for deploying and managing virtual machines to a cloud computing platform; computer systems, namely, computer hardware and computer software for developing and integrating artificial intelligence, namely, machine learning, deep learning and natural language processing which are capable of collecting, organizing and analyzing data; computer systems, namely computer hardware and computer software that integrate Natural Language Processing (NLP), Computational Linguistics (CL), Information Retrieval (IR) and Machine Learning (ML) functions and capable of understanding general human queries and formulating responses; software for development, construction and operation of blockchain technology applications; computer hardware and computer software for developing and testing quantum algorithms; documentation and instruction manuals recorded on electronic data media that can be operated by machine and concerning computers or computer programs; electronic publications, downloadable; electronic publications on computer media, namely, user manuals, guide books, brochures, information sheets, written presentations and teaching materials in the field of computing, computer networks, computer storage, computer operating systems, information technology, database management, cloud computing, artificial intelligence, blockchain technology and quantum computing. Computer programming; Software as a Service (SaaS) services featuring software for data management; software as a service (SaaS) services featuring software for cloud computing; software as a service (SaaS) services featuring software for artificial intelligence; software as a service (SaaS) services featuring software for cognitive computing; software as a service (SaaS) services featuring software for blockchain technology; software as a service (SaaS) services featuring software for quantum computing and quantum programming; software as a service (SaaS) services featuring software for constructing, analyzing and running quantum programs and quantum algorithms; software as a service (SaaS) services featuring software for developing and testing quantum algorithms; computer programming and computer consulting services for artificial intelligence; computer programming and computer consulting services for cognitive computing; computer programming and computer consulting services for information management; computer programming and computer consulting services for data management; computer programming and computer consulting services for cloud computing; computer programming and computer consulting services for blockchain technology; computer programming and computer consulting services for quantum computing; computer programming and computer consulting services for software as a service (SaaS); design, installation, updating and maintenance of software; design of computer software and hardware for third parties and consulting services in the field of computers; technical support services, namely, solving problems with computer software and programs; computer services, namely, design, creation and maintenance of websites for third parties; analysis of computer systems, integration of computer networks and databases, computer programming for third parties, all relating to commercial interactions on global computer networks; design of computer and software interconnection systems, namely, electronic interconnection of computers and software; testing of computer programs (software) and computer hardware (quality control and technical control); technical project studies in the field of computer hardware and software; computer consulting in connection with computer hardware, namely consulting in computer research and development; computer advice and assistance concerning Internet use; rental of computers and software; scientific and industrial research, namely research and development of new products, biological research, bacteriological research, chemical research, cosmetology research, mechanical research, geological research, technological research, pharmaceutical research, scientific research for medical purposes; advice on information technology [IT]; computer system integration services; consulting services in the field of design, selection, implementation and use of computer and software systems for third parties; technical support services, namely, diagnosing problems with computer hardware and computer programs; computer system design services for others; design of systems for interconnection of computers and computer programs, namely, integration of computer systems and computer networks; computer program and computer hardware testing services, namely testing of software, computers and servers to ensure proper functioning thereof; cloud computing services, namely, network integrated computer hardware and software services for dynamic provisioning, virtualization and consumption metering of computer resources; providing virtual computer systems and virtual computer environments through cloud computing; design and development of software for cloud storage of data; cloud computing hosting provider services; electronic data storage and data recovery services; data security service; computer support services rendered by computer specialists; design of computer hardware for computer networks; technical support services, namely, troubleshooting computer hardware problems.

93.

IBM INSTANA

      
Numéro d'application 1695829
Statut Enregistrée
Date de dépôt 2022-08-17
Date d'enregistrement 2022-08-17
Propriétaire International Business Machines Corporation (USA)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Computers; quantum computers; computer hardware and software; computer hardware and software for information technology analysis and data management; computer hardware and software for application development; computer hardware and software for cloud computing; computer hardware and software for cognitive computing; computer hardware and software for artificial intelligence; computer hardware and software for blockchain technology; computer hardware and software for quantum computing and quantum programming; computer hardware, namely, magnetic tape units (data processing), magnetic tapes, printed circuits, integrated circuits, computer keyboards, compact discs (audio-video), optical disks, couplers (data processing), floppy disks, magnetic data media; computer hardware, namely, video screens, scanners (data processing equipment), computer printers, interfaces (data processing), readers (data processing), software (recorded programs), microprocessors, modems, monitors (hardware), computers, computer memories, computer peripherals; computer adapters; computer components; data processing equipment; computer equipment for data and information management; semiconductors; machine-readable electronic data media; magnetic disks; hard disk drives; tape recorders; calculating machines; cash registers; facsimile machines; video recorders; videotapes; electric cells and electric batteries; computer chips; boards for integrated circuits; computer accessories, namely, computer communication servers; computer carrying cases; interface cards for computers; computer cables and computer cable parts; fax modem cards for computers; computer accessories, namely, screen filters, computer mouse pads, pagers, computer controllers; electric converters, namely, digital-to-analog, analog-to-digital and step-by-step voltage steppers; computer mice; integrated circuit cards and smart cards, adapters for integrated circuits and adapters for smart cards; readers for integrated circuit cards and smart cards; microcomputers; electric power supply apparatus; projectors (projection apparatus); remote controllers for computers; inverters, surge protectors and uninterruptible power supplies; point-of-sale terminals; computer servers; computer storage devices, namely high-speed storage subsystems for storage and backup of electronic data either locally or via a telecommunication network; recorded and downloadable computer programs and software; video game software; operating system software and programs; software for accessing a global computer network; document management software; database management software; software for locating, recovering and receiving text, electronic documents, graphic illustrations and audiovisual information on company-scale internal computer networks and on local, wide-area and global computer networks; software for developing and software for designing websites and user manuals, in electronic format, sold as a set; computer software for controlling the operations and execution of computer systems, programs and computer networks; computer software for connecting disparate computer networks and systems, servers and storage devices; computer programs for linking computers together and for enabling computer activities across a global computer network; computer software for managing systems, software and processes existing within an information technology environment; computer systems combining computer hardware and software for use in management and analysis of data and instruction manuals in electronic format sold with these products; cloud computing systems, namely networks integrating computer hardware and software for dynamic provisioning, virtualization and consumption metering of computer resources; recorded and downloadable cloud-computing software for deploying and managing virtual machines to a cloud computing platform; computer systems, namely, computer hardware and computer software for developing and integrating artificial intelligence, namely, machine learning, deep learning and natural language processing which are capable of collecting, organizing and analyzing data; computer systems, namely computer hardware and computer software that integrate Natural Language Processing (NLP), Computational Linguistics (CL), Information Retrieval (IR) and Machine Learning (ML) functions and capable of understanding general human queries and formulating responses; software for development, construction and operation of blockchain technology applications; computer hardware and computer software for developing and testing quantum algorithms; documentation and instruction manuals recorded on electronic data media that can be operated by machine and concerning computers or computer programs; electronic publications, downloadable; electronic publications on computer media, namely, user manuals, guide books, brochures, information sheets, written presentations and teaching materials in the field of computing, computer networks, computer storage, computer operating systems, information technology, database management, cloud computing, artificial intelligence, blockchain technology and quantum computing. Computer programming; software as a service (SaaS) services featuring software for data management; software as a service (SaaS) services featuring software for cloud computing; software as a service (SaaS) services featuring software for artificial intelligence; software as a service (SaaS) services featuring software for cognitive computing; software as a service (SaaS) services featuring software for blockchain technology; software as a service (SaaS) services featuring software for quantum computing and quantum programming; software as a service (SaaS) services featuring software for constructing, analyzing and running quantum programs and quantum algorithms; software as a service (SaaS) services featuring software for developing and testing quantum algorithms; computer programming and computer consulting services for artificial intelligence; computer programming and computer consulting services for cognitive computing; computer programming and computer consulting services for information management; computer programming and computer consulting services for data management; computer programming and computer consulting services for cloud computing; computer programming and computer advisory services for blockchain technology; computer programming and computer consulting services for quantum computing; computer programming and computer consulting services for software as a service (SaaS); design, installation, updating and maintenance of software; design of computer software and hardware for third parties and consulting services in the field of computers; technical support services, namely, solving problems with computer software and programs; computer services, namely, design, creation and maintenance of websites for third parties; analysis of computer systems, integration of computer networks and databases, computer programming for third parties, all relating to commercial interactions on global computer networks; design of computer and software interconnection systems, namely, electronic interconnection of computers and software; testing of computer programs (software) and computer hardware (quality control and technical control); technical project studies in the field of computer hardware and software; computer consulting in connection with computer hardware, namely consulting in computer research and development; computer advice and assistance concerning Internet use; rental of computers and software; scientific and industrial research, namely research and development of new products, biological research, bacteriological research, chemical research, cosmetology research, mechanical research, geological research, technological research, pharmaceutical research, scientific research for medical purposes; advice on information technology [IT]; computer system integration services; consulting services in the field of design, selection, implementation and use of computer and software systems for third parties; technical support services, namely, diagnosing problems with computer hardware and computer programs; computer system design services for others; design of systems for interconnection of computers and computer programs, namely, integration of computer systems and computer networks; computer program and computer hardware testing services, namely testing of software, computers and servers to ensure proper functioning thereof; cloud computing services, namely, network integrated computer hardware and software services for dynamic provisioning, virtualization and consumption metering of computer resources; providing virtual computer systems and virtual computer environments through cloud computing; design and development of software for cloud storage of data; cloud computing hosting provider services; electronic data storage and data recovery services; data security service; computer support services rendered by computer specialists; design of computer hardware for computer networks; technical support services, namely, troubleshooting computer hardware problems.

94.

DISCOVERY ACCELERATOR

      
Numéro d'application 1696183
Statut Enregistrée
Date de dépôt 2022-07-07
Date d'enregistrement 2022-07-07
Propriétaire International Business Machines Corporation (USA)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 16 - Papier, carton et produits en ces matières
  • 35 - Publicité; Affaires commerciales
  • 41 - Éducation, divertissements, activités sportives et culturelles
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Computers; quantum computers; computer hardware and software; computer hardware and software for information technology analysis and data management; computer hardware and software for application development; computer hardware and software for cloud computing; computer hardware and software for cognitive computing; computer hardware and software for artificial intelligence; computer hardware and software for blockchain technology; computer hardware and software for quantum computing and quantum programming; computer hardware, namely, magnetic tape units (data processing), magnetic tapes, printed circuits, integrated circuits, computer keyboards, compact discs (audio-video), optical disks, couplers (data processing), floppy disks, magnetic data media; computer hardware, namely, video screens, scanners, computer printers, interfaces (data processing), readers (data processing), software (recorded programs), microprocessors, modems, monitors (hardware), computers, computer memories, computer peripherals; computer adapters; computer components; data processing equipment; computer equipment for data and information management; semiconductors; machine-readable electronic data media; magnetic disks; hard disk drives; tape recorders; calculating machines; cash registers; facsimile machines; video recorders; videotapes; electric cells and electric batteries; computer chips; boards for integrated circuits; computer accessories, namely, computer communication servers; computer carrying cases; interface cards for computers; computer cables and computer cable parts; fax modem cards for computers; computer accessories, namely, screen filters, computer mouse pads, pagers, computer controllers; electric converters, namely, digital-to-analog, analog-to-digital and step-by-step voltage steppers; computer mice; integrated circuit cards and smart cards, adapters for integrated circuits and adapters for smart cards; readers for integrated circuit cards and smart cards; microcomputers; electric power supply apparatus; projectors (projection apparatus); remote controllers for computers; inverters, surge protectors and uninterruptible power supplies; point-of-sale terminals; computer servers; computer storage devices, namely high-speed storage subsystems for storage and backup of electronic data either locally or via a telecommunication network; recorded and downloadable computer programs and software; video game software; operating system software and programs; software for accessing a global computer network; document management software; database management software; software for locating, recovering and receiving text, electronic documents, graphic illustrations and audiovisual information on company-scale internal computer networks and on local, wide-area and global computer networks; software for developing and software for designing websites and user manuals, in electronic format, sold as a set; computer software for controlling the operations and execution of computer systems, programs and computer networks; computer software for connecting disparate computer networks and systems, servers and storage devices; computer programs for linking computers together and for enabling computer activities across a global computer network; computer software for managing systems, software and processes existing within an information technology environment; computer systems combining computer hardware and software for use in management and analysis of data and instruction manuals in electronic format sold with these products; cloud computing systems, namely networks integrating computer hardware and software for dynamic provisioning, virtualization and consumption metering of computer resources; recorded and downloadable cloud-computing software for deploying and managing virtual machines to a cloud computing platform; computer systems, namely, computer hardware and computer software for developing and integrating artificial intelligence, namely, machine learning, deep learning and natural language processing which are capable of collecting, organizing and analyzing data; computer systems, namely computer hardware and computer software that integrate Natural Language Processing (NLP), Computational Linguistics (CL), Information Retrieval (IR) and Machine Learning (ML) functions and capable of understanding general human queries and formulating responses; software for development, construction and operation of blockchain technology applications; computer hardware and computer software for developing and testing quantum algorithms; documentation and instruction manuals recorded on electronic data media that can be operated by machine and concerning computers or computer programs; electronic publications; electronic publications on computer media, namely, user manuals, guide books, brochures, information sheets, written presentations and teaching materials in the field of computing, computer networks, computer storage, computer operating systems, information technology, database management, cloud computing, artificial intelligence, blockchain technology and quantum computing. Instructional and teaching material (except apparatus); printed publications and documentation concerning computers and computer programs; handbooks [manuals]; printed publications; books; magazines; periodicals; newspapers; printed matter; printed matter relating to computer equipment, software and related services; manuals, brochures, magazines, newsletters, newspaper inserts, booklets, all in the fields of software, computers, computer system hardware, network hardware, telecommunications, information technology, artificial intelligence, cloud computing, blockchain technology, quantum computing and quantum programming, word processing, database management, multimedia, entertainment equipment and e-commerce. Advertising; sales promotion services (for third parties); commercial business management and advice regarding commercial business management; business information; distribution of prospectuses; distribution of samples; arranging newspaper subscriptions for others; accounting; document reproduction; systematization of data in a central file; organization of exhibitions for commercial or advertising purposes; company management consulting services and commercial business consulting services; commercial business development service; market study statistic and data analysis; computer data processing services; computer data processing services for artificial intelligence; computer data processing services for cognitive computing; computer data processing services for cloud computing; computer data processing services for blockchain technology; computer data processing services for data management; computer data processing services for quantum computing and quantum programming; setting up and conducting commercial exhibitions in the field of computers, computer services, information technology, artificial intelligence, cloud computing, blockchain technology, quantum computing, database management and electronic business transactions via a global computer network; business consulting services for companies regarding artificial intelligence; business consulting services for companies regarding computer systems that integrate Natural Language Processing (NLP), Computational Linguistics (CL), Information Retrieval (IR) and Machine Learning (ML) functions and capable of understanding general human queries and formulating responses; business consulting services for companies relating to cloud computing; business consulting services for companies regarding blockchain technology; business consulting services for companies regarding quantum computing, quantum programming and for developing and testing quantum algorithms; business consulting services for companies regarding information technology; analyzing and compiling business data; systemization of data in computer databases. Education; entertainment; training; organization and conducting of conferences, seminars and congresses; organization of exhibitions for cultural or educational purposes; production of radio and television programs; sporting and cultural activities; educational services, namely organization and conducting of classes, seminars, conferences, webinars and workshops in the field of computers, computer services, information technology, artificial intelligence, cloud computing, blockchain technology, quantum computing, database management, image and audio processing technology, global computer and telecommunication networks; training in the field of computers, computer services, information technology, artificial intelligence, cloud computing, blockchain technology, quantum computing, database management, image and audio processing technology, global computer and telecommunication networks; conducting entertainment exhibitions in the nature of information technology demonstrations; entertainment services, namely, online computer game services; conducting entertainment exhibitions, namely, real-time athletic competitions via a global computer network; conducting entertainment exhibitions, namely, providing demonstrations on web-sites featuring museum exhibitions, sporting events, art gallery exhibitions, concerts, and musical recordings; editing of books and journals; show and film production; conducting of exhibitions for cultural or educational purposes; booking of seats for shows. Computer programming; Software as a Service (SaaS) services featuring software for data management; software as a service (SaaS) services featuring software for cloud computing; software as a service (SaaS) services featuring software for artificial intelligence; software as a service (SaaS) services featuring software for cognitive computing; software as a service (SaaS) services featuring software for blockchain technology; software as a service (SaaS) services featuring software for quantum computing and quantum programming; software as a service (SaaS) services featuring software for constructing, analyzing and running quantum programs and quantum algorithms; software as a service (SaaS) services featuring software for developing and testing quantum algorithms; computer programming and computer consulting services for artificial intelligence; computer programming and computer consulting services for cognitive computing; computer programming and computer consulting services for information management; computer programming and computer consulting services for data management; computer programming and computer consulting services for cloud computing; computer programming and computer consulting services for blockchain technology; computer programming and computer consulting services for quantum computing; computer programming and computer consulting services for software as a service (SaaS); design, installation, updating and maintenance of software; design of computer software and hardware for third parties and consulting services in the field of computers; technical support services, namely, solving problems with computer software and programs; computer services, namely, design, creation and maintenance of websites for third parties; analysis of computer systems, integration of computer networks and databases, computer programming for third parties, all relating to commercial interactions on global computer networks; design of computer and software interconnection systems, namely, electronic interconnection of computers and software; testing of computer programs (software) and computer hardware (quality control and technical control); technical project studies in the field of computer hardware and software; computer consulting in connection with computer hardware, namely consulting in computer research and development; computer advice and assistance concerning Internet use; rental of computers and software; scientific and industrial research, namely research and development of new products, biological research, bacteriological research, chemical research, cosmetology research, mechanical research, geological research, technical research, pharmaceutical research, scientific research for medical purposes; information technology services; computer system integration services; consulting services in the field of design, selection, implementation and use of computer and software systems for third parties; technical support services, namely, diagnosing problems with computer hardware and computer programs; computer system design services for others; design of systems for interconnection of computers and computer programs, namely, integration of computer systems and computer networks; computer program and computer hardware testing services, namely testing of software, computers and servers to ensure proper functioning thereof; cloud computing services, namely, network integrated computer hardware and software services for dynamic provisioning, virtualization and consumption metering of computer resources; providing virtual computer systems and virtual computer environments through cloud computing; design and development of software for cloud storage of data; cloud computing hosting provider services; electronic data storage and data recovery services; data security service; computer support services rendered by computer specialists; design of computer hardware for computer networks; technical support services, namely, troubleshooting computer hardware problems.

95.

REAQTA

      
Numéro d'application 1696190
Statut Enregistrée
Date de dépôt 2022-08-01
Date d'enregistrement 2022-08-01
Propriétaire International Business Machines Corporation (USA)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 35 - Publicité; Affaires commerciales
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Computers; quantum computers; computer hardware and software; computer hardware and software for information technology analysis and data management; computer hardware and software for application development; computer hardware and software for cloud computing; computer hardware and software for cognitive computing; computer hardware and software for artificial intelligence; computer hardware and software for blockchain technology; computer hardware and software for quantum computing and quantum programming; computer hardware, namely, magnetic tape units (data processing), magnetic tapes, printed circuits, integrated circuits, computer keyboards, compact discs (audio-video), optical disks, couplers (data processing), floppy disks, magnetic data media; computer hardware, namely, video screens, scanners, computer printers, interfaces (data processing), readers (data processing), software (recorded programs), microprocessors, modems, monitors (hardware), computers, computer memories, computer peripherals; computer adapters; computer components; data processing equipment; computer equipment for data and information management; semiconductors; machine-readable electronic data media; magnetic disks; hard disk drives; tape recorders; calculating machines; cash registers; facsimile machines; video recorders; videotapes; electric cells and electric batteries; computer chips; boards for integrated circuits; computer accessories, namely, computer communication servers; computer carrying cases; interface cards for computers; computer cables and computer cable parts; fax modem cards for computers; computer accessories, namely, screen filters, computer mouse pads, pagers, computer controllers; electric converters, namely, digital-to-analog, analog-to-digital and step-by-step voltage steppers; computer mice; integrated circuit cards and smart cards, adapters for integrated circuits and adapters for smart cards; readers for integrated circuit cards and smart cards; microcomputers; electric power supply apparatus; projectors (projection apparatus); remote controllers for computers; inverters, surge protectors and uninterruptible power supplies; point-of-sale terminals; computer servers; computer storage devices, namely high-speed storage subsystems for storage and backup of electronic data either locally or via a telecommunication network; recorded and downloadable computer programs and software; video game software; operating system software and programs; software for accessing a global computer network; document management software; database management software; software for locating, recovering and receiving text, electronic documents, graphic illustrations and audiovisual information on company-scale internal computer networks and on local, wide-area and global computer networks; software for developing and software for designing websites and user manuals, in electronic format, sold as a set; computer software for controlling the operations and execution of computer systems, programs and computer networks; computer software for connecting disparate computer networks and systems, servers and storage devices; computer programs for linking computers together and for enabling computer activities across a global computer network; computer software for managing systems, software and processes existing within an information technology environment; computer systems combining computer hardware and software for use in management and analysis of data and instruction manuals in electronic format sold with these products; cloud computing systems, namely networks integrating computer hardware and software for dynamic provisioning, virtualization and consumption metering of computer resources; recorded and downloadable cloud-computing software for deploying and managing virtual machines to a cloud computing platform; computer systems, namely, computer hardware and computer software for developing and integrating artificial intelligence, namely, machine learning, deep learning and natural language processing which are capable of collecting, organizing and analyzing data; computer systems, namely computer hardware and computer software that integrate Natural Language Processing (NLP), Computational Linguistics (CL), Information Retrieval (IR) and Machine Learning (ML) functions and capable of understanding general human queries and formulating responses; software for development, construction and operation of blockchain technology applications; computer hardware and computer software for developing and testing quantum algorithms; documentation and instruction manuals recorded on electronic data media that can be operated by machine and concerning computers or computer programs; electronic publications; electronic publications on computer media, namely, user manuals, guide books, brochures, information sheets, written presentations and teaching materials in the field of computing, computer networks, computer storage, computer operating systems, information technology, database management, cloud computing, artificial intelligence, blockchain technology and quantum computing. Advertising; sales promotion services (for third parties); commercial business management and advice regarding commercial business management; business information; distribution of prospectuses; distribution of samples; arranging newspaper subscriptions for others; accounting; document reproduction; systematization of data in a central file; organization of exhibitions for commercial or advertising purposes; company management consulting services and commercial business consulting services; commercial business development service; market study statistic and data analysis; computer data processing services; computer data processing services for artificial intelligence; computer data processing services for cognitive computing; computer data processing services for cloud computing; computer data processing services for blockchain technology; computer data processing services for data management; computer data processing services for quantum computing and quantum programming; setting up and conducting commercial exhibitions in the field of computers, computer services, information technology, artificial intelligence, cloud computing, blockchain technology, quantum computing, database management and electronic business transactions via a global computer network; business consulting services for companies regarding artificial intelligence; business consulting services for companies regarding computer systems that integrate Natural Language Processing (NLP), Computational Linguistics (CL), Information Retrieval (IR) and Machine Learning (ML) functions and capable of understanding general human queries and formulating responses; business consulting services for companies relating to cloud computing; business consulting services for companies regarding blockchain technology; business consulting services for companies regarding quantum computing, quantum programming and for developing and testing quantum algorithms; business consulting services for companies regarding information technology; analyzing and compiling business data; systemization of data in computer databases. Computer programming; Software as a Service (SaaS) services featuring software for data management; software as a service (SaaS) services featuring software for cloud computing; software as a service (SaaS) services featuring software for artificial intelligence; software as a service (SaaS) services featuring software for cognitive computing; software as a service (SaaS) services featuring software for blockchain technology; software as a service (SaaS) services featuring software for quantum computing and quantum programming; software as a service (SaaS) services featuring software for constructing, analyzing and running quantum programs and quantum algorithms; software as a service (SaaS) services featuring software for developing and testing quantum algorithms; computer programming and computer consulting services for artificial intelligence; computer programming and computer consulting services for cognitive computing; computer programming and computer consulting services for information management; computer programming and computer consulting services for data management; computer programming and computer consulting services for cloud computing; computer programming and computer consulting services for blockchain technology; computer programming and computer consulting services for quantum computing; computer programming and computer consulting services for software as a service (SaaS); design, installation, updating and maintenance of software; design of computer software and hardware for third parties and consulting services in the field of computers; technical support services, namely, solving problems with computer software and programs; computer services, namely, design, creation and maintenance of websites for third parties; analysis of computer systems, integration of computer networks and databases, computer programming for third parties, all relating to commercial interactions on global computer networks; design of computer and software interconnection systems, namely, electronic interconnection of computers and software; testing of computer programs (software) and computer hardware (quality control and technical control); technical project studies in the field of computer hardware and software; computer consulting in connection with computer hardware, namely consulting in computer research and development; computer advice and assistance concerning Internet use; rental of computers and software; scientific and industrial research, namely research and development of new products, biological research, bacteriological research, chemical research, cosmetology research, mechanical research, geological research, technical research, pharmaceutical research, scientific research for medical purposes; information technology services; computer system integration services; consulting services in the field of design, selection, implementation and use of computer and software systems for third parties; technical support services, namely, diagnosing problems with computer hardware and computer programs; computer system design services for others; design of systems for interconnection of computers and computer programs, namely, integration of computer systems and computer networks; computer program and computer hardware testing services, namely testing of software, computers and servers to ensure proper functioning thereof; cloud computing services, namely, network integrated computer hardware and software services for dynamic provisioning, virtualization and consumption metering of computer resources; providing virtual computer systems and virtual computer environments through cloud computing; design and development of software for cloud storage of data; cloud computing hosting provider services; electronic data storage and data recovery services; data security service; computer support services rendered by computer specialists; design of computer hardware for computer networks; technical support services, namely, troubleshooting computer hardware problems.

96.

IBM SECURITY REAQTA AS A SERVICE

      
Numéro d'application 1696191
Statut Enregistrée
Date de dépôt 2022-08-01
Date d'enregistrement 2022-08-01
Propriétaire International Business Machines Corporation (USA)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 35 - Publicité; Affaires commerciales
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Computers; quantum computers; computer hardware and software; computer hardware and software for information technology analysis and data management; computer hardware and software for developing applications; computer hardware and software for cloud computing; computer hardware and software for cognitive computing; computer hardware and software for artificial intelligence; computer hardware and software for blockchain technology; computer hardware and software for quantum computing and quantum programming; computer hardware, namely, magnetic tape units (data processing), magnetic tapes, printed circuits, integrated circuits, computer keyboards, compact discs (audio-video), optical disks, couplers (data processing), floppy disks, magnetic data media; computer hardware, namely, video screens, scanners, computer printers, interfaces (data processing), readers (data processing), software (recorded programs), microprocessors, modems, monitors (hardware), computers, computer memories, computer peripherals; computer adapters; computer components; data processing equipment; computer equipment for data and information management; semiconductors; machine-readable electronic data media; magnetic disks; hard disk drives; tape recorders; calculating machines; cash registers; facsimile machines; video recorders; videotapes; electric cells and electric batteries; computer chips; boards for integrated circuits; computer accessories, namely, computer communication servers; computer carrying cases; interface cards for computers; computer cables and computer cable parts; fax modem cards for computers; computer accessories, namely, screen filters, computer mouse pads, pagers, computer controllers; electric converters, namely, digital-to-analog, analog-to-digital and step-by-step voltage steppers; computer mice; integrated circuit cards and smart cards, adapters for integrated circuits and adapters for smart cards; readers for integrated circuit cards and smart cards; microcomputers; electric power supply apparatus; projectors (projection apparatus); remote controllers for computers; inverters, surge protectors and uninterruptible power supplies; point-of-sale terminals; computer servers; computer storage devices, namely high-speed storage subsystems for storage and backup of electronic data either locally or via a telecommunication network; recorded and downloadable computer programs and software; video game software; operating system programs and software; software for accessing a global computer network; document management software; database management software; software for locating, recovering and receiving text, electronic documents, graphic illustrations and audiovisual information on company-scale internal computer networks and on local, wide-area and global computer networks; software for developing and software for designing websites and user manuals, in electronic format, sold as a set; computer software for controlling the operation and running of computer systems, programs, and computer networks; computer software for connecting disparate computer networks and systems, diverse servers and storage apparatus; computer programs for connecting computers together and for enabling computer activities across a global computer network; computer software for managing systems, software and processes existing in an information technology environment; computer systems combining hardware and software for use in managing and analyzing data and instruction manuals in electronic format sold with these products; cloud computing systems, namely, networks integrating computer hardware and software for dynamic provisioning, virtualization, and consumption metering of computer resources; downloadable and recorded cloud computing software for deploying and managing virtual machines on a cloud computing platform; computer systems, namely, computer hardware and computer software for developing and integrating artificial intelligence, namely, machine learning, deep learning, and natural language processing which are capable of collecting, organizing and analyzing data; computer systems, namely computer hardware and computer software that integrate Natural Language Processing (NLP), Computational Linguistics (CL), Information Retrieval (IR) and Machine Learning (ML) and capable of understanding general human queries and formulating responses; software for developing, building, and operating block chain technology applications; computer hardware and computer software for developing and testing quantum algorithms; documentation and instruction manuals recorded on electronic data media that can be operated by machine and concerning computers or computer programs; electronic publications; electronic publications on computer media, namely, user manuals, guide books, brochure material, information sheets, written presentations and teaching materials in the field of computing, computer networks, computer storage, computer operating systems, information technology, database management, cloud computing, artificial intelligence, blockchain technology and quantum computing. Advertising; sales promotion services (for third parties); commercial business management and advice regarding commercial business management; business information; distribution of prospectuses; distribution of samples; arranging newspaper subscriptions for others; accounting; document reproduction; systematization of data in a central file; organization of exhibitions for commercial or advertising purposes; company management consulting services and commercial business consulting services; commercial business development service; market study statistic and data analysis; computer data processing services; computer data processing services for artificial intelligence; computer data processing services for cognitive computing; computer data processing services for cloud computing; computer data processing services for blockchain technology; computer data processing services for information management; computer data processing services for quantum computing and quantum programming; setting up and conducting commercial exhibitions in the field of computers, computer services, information technology, artificial intelligence, cloud computing, blockchain technology, quantum computing, database management and electronic business transactions via a global computer network; business consulting services for companies regarding artificial intelligence; business consulting services for companies with respect to computer systems that integrate Natural Language Processing (NLP), Computational Linguistics (CL), Information Retrieval (IR) and Machine Learning (ML) and capable of understanding general human queries and formulating responses; business consulting services for companies relating to cloud computing; business consulting services for companies regarding blockchain technology; business consulting services for companies regarding quantum computing, quantum programming and for developing and testing quantum algorithms; business consulting services for companies regarding information technology; analyzing and compiling business data; systemization of data in computer databases. Computer programming; Software as a Service (SaaS) services featuring software for data management; software as a service (SaaS) services featuring software for cloud computing; software as a service (SaaS) services featuring software for artificial intelligence; software as a service (SaaS) services featuring software for cognitive computing; software as a service (SaaS) services featuring software for blockchain technology; software as a service (SaaS) services featuring software for quantum computing and quantum programming; software as a service (SaaS) services featuring software for constructing, analyzing and running quantum programs and quantum algorithms; software as a service (SaaS) services featuring software for developing and testing quantum algorithms; computer programming and computer advisory services for artificial intelligence; computer programming and computer advisory services for cognitive computing; computer programming and computer advisory services for information management; computer programming and computer consulting services for data management; computer programming and computer consulting services for cloud computing; computer programming and computer consulting services for blockchain technology; computer programming and computer advisory services for quantum computing; computer programming and computer consulting services for software as a service (SaaS); design, installation, updating and maintenance of software; design of computer software and hardware for third parties and consulting services in the field of computers; technical support services, namely, solving problems with computer software and programs; computer services, namely, design, creation and maintenance of websites for third parties; analysis of computer systems, integration of computer networks and databases, computer programming for third parties, all relating to commercial interactions on global computer networks; design of systems for interconnection of computer hardware and software, namely, electronic interconnection of computers and software; testing of computer programs (software) and computer hardware (quality control and technical control); technical project studies in the field of computer hardware and software; computer consulting in connection with computer hardware, namely consulting in computer research and development; computer advice and assistance concerning Internet use; rental of computers and software; scientific and industrial research, namely research and development of new products, biological research, bacteriological research, chemical research, cosmetology research, mechanical research, geological research, technical research, pharmaceutical research, scientific research for medical purposes; information technology services; computer system integration services; advisory services relating to the design, selection, implementation and use of computer systems and software for others; technical support services, namely, diagnosing problems with computer hardware and computer programs; computer system design services for others; design of interconnection systems for computers and computer programs, namely, integration of computer systems and computer networks; testing of computer programs and computer hardware, namely, testing of software, computers and servers to ensure proper functioning; cloud computing services, namely, integrated computer hardware and network software services for dynamic provisioning, virtualization, and consumption metering of computer resources; providing virtual computer systems and virtual computer environments through cloud computing; design and development of software for cloud storage of data; cloud computing hosting provider services; electronic data storage and data recovery services; data security service; computer support services rendered by computer specialists; design of computer hardware for computer networks; technical support services, namely troubleshooting of computer hardware problems.

97.

MULTI-RELATIONAL GRAPH CONVOLUTIONAL NETWORK (GCN) IN RISK PREDICTION

      
Numéro d'application 17241790
Statut En instance
Date de dépôt 2021-04-27
Date de la première publication 2022-11-17
Propriétaire
  • International Business Machines Corporation (USA)
  • Rensselaer Polytechnic Institute (USA)
Inventeur(s)
  • Zhu, Yada
  • Liu, Sijia
  • Gupta, Aparna
  • Palepu, Sai Radhakrishna Manikant Sarma
  • Kar, Koushik
  • Popa, Lucian
  • Bhaskaran, Kumar
  • Gaur, Nitin

Abrégé

A graph neural network can be built and trained to predict a risk of an entity. A multi-relational graph network can include a first graph network and a second graph network. The first graph network can include a first set of nodes and a first set of edges connecting some of the nodes in the first set. The second graph network can include a second set of nodes and a second set of edges connecting some of the nodes in the second set. The first set of nodes and the second set of nodes can represent entities, the first set of edges can represent a first relationship between the entities and the second set of edges can represent a second relationship between the entities. A graph convolutional network (GCN) can be structured to incorporate the multi-relational graph network, and trained to predict a risk associated with a given entity.

Classes IPC  ?

  • G06N 3/08 - Méthodes d'apprentissage
  • G06N 3/04 - Architecture, p.ex. topologie d'interconnexion

98.

AGRICULTURAL CROP IDENTIFICATION USING SATELLITE AND CROP ROTATION

      
Numéro d'application 17243799
Statut En instance
Date de dépôt 2021-04-29
Date de la première publication 2022-11-17
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Wolfson, Charles Daniel
  • Selby, David Alec
  • Brown, Kevin

Abrégé

In an approach for identifying a crop using satellite observation data and crop rotation data, a processor receives an aerial image of one or more agricultural fields in a pre-determined geographical region from an optical satellite. A processor selects a plurality of points from the aerial image. A processor clips the aerial image into one or more smaller images to generate one or more observed signatures. A processor determines there is a change in a spatial distribution of one or more crops. A processor generates an actual signature from the one or more observed signatures. A processor cross-correlates the actual signature against a plurality of historical reference signatures to determine a degree of similarity. A processor ranks one or more results of the cross-correlation. A processor identifies the one or more crops. A processor calculates a first estimate of an amount of the one or more crops.

Classes IPC  ?

  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
  • G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
  • G06T 7/00 - Analyse d'image

99.

HARDWARE ACCELERATION FOR COMPUTING EIGENPAIRS OF A MATRIX

      
Numéro d'application 17245801
Statut En instance
Date de dépôt 2021-04-30
Date de la première publication 2022-11-17
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Nowicki, Tomasz J.
  • Onen, Oguzhan Murat
  • Gokmen, Tayfun
  • Kalantzis, Vasileios
  • Wu, Chai Wah
  • Squillante, Mark S.
  • Rasch, Malte Johannes
  • Haensch, Wilfried
  • Horesh, Lior

Abrégé

Techniques are provided to implement hardware accelerated computing of eigenpairs of a matrix. For example, a system includes a processor, and a resistive processing unit coupled to the processor. The resistive processing unit includes an array of cells which include respective resistive devices, wherein at least a portion of the resistive devices are tunable to encode values of a given matrix which is storable in the array of cells. When the given matrix is stored in the array of cells, the processor is configured to determine an eigenvector of the stored matrix by executing a process which includes performing analog matrix-vector multiplication operations on the stored matrix to converge an initial vector to an estimate of the eigenvector of the stored matrix.

Classes IPC  ?

  • G06F 17/16 - Calcul de matrice ou de vecteur
  • G06N 3/063 - Réalisation physique, c. à d. mise en oeuvre matérielle de réseaux neuronaux, de neurones ou de parties de neurones utilisant des moyens électroniques

100.

AUTOMATICALLY COMPLETING A PIPELINE GRAPH IN AN INTERNET OF THINGS NETWORK

      
Numéro d'application 17302728
Statut En instance
Date de dépôt 2021-05-11
Date de la première publication 2022-11-17
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Kabra, Namit
  • Gupta, Ritesh Kumar
  • Saillet, Yannik
  • Ekambaram, Vijay

Abrégé

An approach is provided for completing a pipeline graph. Using a deep learning based sequence model, an initial data pipeline having a sequence of nodes is generated. Mismatch(es) between data formats required by input and output in the sequence of nodes is identified. Virtual gap node(s) that correct the mismatch(es) are added to the initial data pipeline. For a given virtual gap node, tentative graph structures are determined using knowledge graphs and a crowd sourced validation system. Reuse forecast scores and performance scores for the tentative graph structures are calculated. Based on the reuse forecast scores and the performance scores, a final graph structure for implementing the given virtual gap node is determined.

Classes IPC  ?

  • G06F 16/901 - Indexation; Structures de données à cet effet; Structures de stockage
  • G06F 11/36 - Prévention d'erreurs en effectuant des tests ou par débogage de logiciel
  • G06N 5/02 - Représentation de la connaissance
  • G06N 3/08 - Méthodes d'apprentissage
  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
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