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États‑Unis d’Amérique

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Propriétaire / Filiale
[Owner] International Business Machines Corporation 8 493
IBM United Kingdom Limited 4 414
IBM China Company Limited 594
IBM Deutschland GmbH 413
IBM Canada Limited 4
Date
Nouveautés (dernières 4 semaines) 48
2022 novembre (MACJ) 54
2022 octobre 36
2022 septembre 73
2022 août 28
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Classe IPC
G06F 17/30 - Recherche documentaire; Structures de bases de données à cet effet 575
H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole 370
G06F 9/50 - Allocation de ressources, p.ex. de l'unité centrale de traitement [UCT] 248
H04L 29/08 - Procédure de commande de la transmission, p.ex. procédure de commande du niveau de la liaison 193
H01L 21/336 - Transistors à effet de champ à grille isolée 188
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1.

MRAM-BASED CHIP IDENTIFICATION WITH FREE RANDOM PROGRAMMING

      
Numéro d'application CN2022087375
Numéro de publication 2022/247522
Statut Délivré - en vigueur
Date de dépôt 2022-04-18
Date de publication 2022-12-01
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Cheng, Kangguo
  • Houssameddine, Dimitri
  • Frougier, Julien
  • Xie, Ruilong

Abrégé

A magnetoresistive random access memory (MRAM) device having chip identification using normal operating voltages is provided. No dedicated programming is needed. Instead, programming of the MRAM device is free and random and is a result of providing a magnetic via structure sufficiently close to the magnetic free layer of the magnetic junction tunnel (MTJ) structure such that the magnetic via structure projects a magnetic field that interacts with the magnetic free layer and aligns the magnetization of the magnetic free layer with the magnetization of the magnetic via structure. Thus, the orientation of the magnetization of both the magnetic via structure and the magnetic free layer are aligned in a same direction. The magnetization of the magnetic via structure can thus be used as a physical unclonable function and the MTJ structure can be used to read out this information.

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

2.

SPIN-ORBIT TORQUE (SOT) MAGNETORESISTIVE RANDOM-ACCESS MEMORY (MRAM) WITH LOW RESISTIVITY SPIN HALL EFFECT (SHE) WRITE LINE

      
Numéro d'application EP2022062791
Numéro de publication 2022/248224
Statut Délivré - en vigueur
Date de dépôt 2022-05-11
Date de publication 2022-12-01
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM UNITED KINGDOM LIMITED (Royaume‑Uni)
Inventeur(s)
  • Frougier, Julien
  • Houssameddine, Dimitri
  • Xie, Ruilong
  • Cheng, Kangguo

Abrégé

Embodiments of the invention include a method for fabricating a magnetoresistive random-access memory (MRAM) structure and the resulting structure. A first type of metal (1220) is formed on an interlayer dielectric layer (210) with a plurality of embedded contacts (220), where the first type of metal exhibits spin Hall effect (SHE) properties. At least one spin-orbit torque (SOT) MRAM cell is formed on the first type of metal. One or more recesses surrounding the at least one SOT-MRAM cell are created by recessing exposed portions of the first type of metal. A second type of metal (1210) is formed in the one or more recesses, where the second type of metal has lower resistivity than the first type of metal.

Classes IPC  ?

  • 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
  • G11C 11/02 - Mémoires numériques caractérisées par l'utilisation d'éléments d'emmagasinage électriques ou magnétiques particuliers; Eléments d'emmagasinage correspondants utilisant des éléments magnétiques
  • 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 43/08 - Résistances commandées par un champ magnétique
  • H01L 43/12 - Procédés ou appareils spécialement adaptés à la fabrication ou le traitement de ces dispositifs ou de leurs parties constitutives
  • G11C 11/16 - Mémoires numériques caractérisées par l'utilisation d'éléments d'emmagasinage électriques ou magnétiques particuliers; Eléments d'emmagasinage correspondants utilisant des éléments magnétiques utilisant des éléments dans lesquels l'effet d'emmagasinage est basé sur l'effet de spin

3.

SOUND EFFECT SIMULATION BY CREATING VIRTUAL REALITY OBSTACLE

      
Numéro d'application CN2022086080
Numéro de publication 2022/247492
Statut Délivré - en vigueur
Date de dépôt 2022-04-11
Date de publication 2022-12-01
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • B, Dinesh Kumar
  • Rakshit, Sarbajit K.

Abrégé

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

4.

SELECTIVELY BIASING MAGNETORESISTIVE RANDOM-ACCESS MEMORY CELLS

      
Numéro d'application EP2022062788
Numéro de publication 2022/248223
Statut Délivré - en vigueur
Date de dépôt 2022-05-11
Date de publication 2022-12-01
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM UNITED KINGDOM LIMITED (Royaume‑Uni)
Inventeur(s)
  • Rizzolo, Michael
  • Zare, Saba
  • Mehta, Virat, Vasav
  • Evarts, Eric, Raymond

Abrégé

Provided is a magnetoresistive random-access memory (MRAM) cell. The MRAM cell (500) comprises a top contact(502), a hard mask layer (504) below the top contact, and a magnetic tunnel junction, MTJ, (506) below the hard mask layer. The MRAM cell further comprises a diffusion barrier (508) below the MTJ, a bottom contact (510) below the diffusion barrier, and a magnetic liner (512) arranged around the bottom contact.

Classes IPC  ?

  • 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 43/02 - 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 43/08 - Résistances commandées par un champ magnétique
  • G11C 11/02 - Mémoires numériques caractérisées par l'utilisation d'éléments d'emmagasinage électriques ou magnétiques particuliers; Eléments d'emmagasinage correspondants utilisant des éléments magnétiques

5.

COMPLIANCE AWARE APPLICATION SCHEDULING

      
Numéro d'application CN2022089133
Numéro de publication 2022/247553
Statut Délivré - en vigueur
Date de dépôt 2022-04-26
Date de publication 2022-12-01
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Dumba, Braulio Gabriel
  • Duan, Jun
  • Jean-Louis, Nerla
  • Bulut, Muhammed Fatih
  • Zeng, Sai

Abrégé

A method for scheduling services in a computing environment includes receiving a service scheduling request corresponding to the computing environment and identifying a resource pool and a set of compliance requirements corresponding to the computing environment. The method continues by identifying target resources within the resource pool, wherein target resources are resources which meet the set of compliance requirements, and subsequently identifying a set of available target resources, wherein available target resources are target resources with scheduling availability. The method further includes analyzing the set of available target resources to determine a risk score for each available target resource and selecting one or more of the set of available target resources according to the determined risk scores. The method continues by scheduling a service corresponding to the service scheduling request on the selected one or more available target resources.

Classes IPC  ?

  • G06F 9/48 - Lancement de programmes; Commutation de programmes, p.ex. par interruption
  • G06F 9/50 - Allocation de ressources, p.ex. de l'unité centrale de traitement [UCT]

6.

BATTERY STATE OF CHARGE MANAGEMENT FOR STORAGE

      
Numéro d'application CN2022095228
Numéro de publication 2022/247904
Statut Délivré - en vigueur
Date de dépôt 2022-05-26
Date de publication 2022-12-01
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Maresh, Mark E.
  • Fishbune, Richard John
  • Coq, Marc Henri
  • Swenson, Eric B.

Abrégé

Embodiments of the present invention manage a state of charge of a rechargeable battery for extended storage by determining a manual override for a storage protocol which is not activated, the rechargeable battery is associated with a battery charger and an electronic device. Embodiments of the present invention comprise: receiving battery data, environment data, and historical data for the rechargeable battery associated with a battery charger. Embodiments of the present invention determine to activate the storage protocol for the rechargeable battery based on the battery data, the environment data, and the historical data and discharge the rechargeable battery to a preset state of charge level based on the storage protocol.

Classes IPC  ?

  • H01M 10/42 - Procédés ou dispositions pour assurer le fonctionnement ou l'entretien des éléments secondaires ou des demi-éléments secondaires
  • H02J 7/00 - Circuits pour la charge ou la dépolarisation des batteries ou pour alimenter des charges par des batteries

7.

HYBRID DIFFUSION BREAK WITH EUV GATE PATTERNING

      
Numéro d'application EP2022062026
Numéro de publication 2022/248181
Statut Délivré - en vigueur
Date de dépôt 2022-05-04
Date de publication 2022-12-01
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM UNITED KINGDOM LIMITED (Royaume‑Uni)
Inventeur(s)
  • Miller, Eric
  • Seshadri, Indira
  • Greene, Andrew
  • Frougier, Julien
  • Basker, Veeraraghavan

Abrégé

An apparatus (102) comprising a substrate, a first nanosheet device (D3) located on the substrate, and a second nanosheet device (D4) located on the substrate, wherein the second nanosheet device is adjacent to the first nanosheet device. At least one first gate (145) located on the first nanosheet device, wherein the at least one first gate has a first width. At least one second gate (160) located on the second nanosheet device, wherein the at least one second gate has a second width, wherein the first width and the second width are substantially the same. A single diffusion break (150) located between the first nanosheet device and the second nanosheet device, wherein the single diffusion break prevents the first nanosheet device from contacting the second nanosheet device, wherein the diffusion break has a third width, wherein the third width is larger than the first width and the second width.

Classes IPC  ?

  • H01L 21/8234 - Technologie MIS
  • H01L 27/088 - 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 éléments de circuit passif intégrés avec au moins une barrière de potentiel ou une barrière de surface le substrat étant un corps semi-conducteur comprenant uniquement des composants semi-conducteurs d'un seul type comprenant uniquement des composants à effet de champ les composants étant des transistors à effet de champ à porte isolée
  • H01L 29/06 - Corps semi-conducteurs caractérisés par les formes, les dimensions relatives, ou les dispositions des régions semi-conductrices
  • H01L 29/775 - Transistors à effet de champ avec un canal à gaz de porteurs de charge à une dimension, p.ex. FET à fil quantique

8.

BONDING OF BRIDGE TO MULTIPLE SEMICONDUCTOR CHIPS

      
Numéro d'application IB2022054874
Numéro de publication 2022/249077
Statut Délivré - en vigueur
Date de dépôt 2022-05-25
Date de publication 2022-12-01
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) INVESTMENT COMPANY LTD. (Chine)
  • IBM DEUTSCHLAND GMBH (Allemagne)
Inventeur(s)
  • Horibe, Akihiro
  • Watanabe, Takahito
  • Aoki, Toyohiro
  • Hisada, Takashi
  • Mori, Hiroyuki

Abrégé

Interconnecting a first chip and a second chip by a bridge member includes a chip handler for handling the first chip and the second chip. Each of the first chip and the second chip has a first surface including a first set of terminals and a second surface opposite to the first surface. The chip handler has an opening and at least one support surface for supporting the first surfaces of the first chip and the second chip when the first chip and the second chip are mounted to the chip handler. A chip support member supports the first chip and the second chip from the second surfaces, and a bridge handler is provided for inserting the bridge member through the opening of the chip handler and for placing the bridge member onto the first sets of terminals of the first chip and the second chip.

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

9.

DATA STORAGE BEYOND THRESHOLD TAPE POSITION

      
Numéro d'application CN2022087006
Numéro de publication 2022/247513
Statut Délivré - en vigueur
Date de dépôt 2022-04-15
Date de publication 2022-12-01
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Masuda, Setsuko
  • Abe, Atsushi
  • Miyamura, Tsuyoshi

Abrégé

A method can include obtaining write information corresponding to an index to be written to a tape. The write information can include a target write position on the tape for the index. The method can include making a first determination that the target write position is beyond a threshold position on the tape. The method can include obtaining index information comprising a size of a full index stored on the tape. The method can include making a second determination that the size of the full index exceeds a size of one dataset. The method can include writing, in response to making the first determination and the second determination, the index to the tape. The writing can be in a first position beyond the threshold position. The index can be an incremental index.

Classes IPC  ?

  • G06F 16/901 - Indexation; Structures de données à cet effet; Structures de stockage

10.

APPLICATION DEPLOYMENT IN MULTI-CLUSTER ENVIRONMENT

      
Numéro d'application CN2022094482
Numéro de publication 2022/247793
Statut Délivré - en vigueur
Date de dépôt 2022-05-23
Date de publication 2022-12-01
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Chen, Hui
  • Liu, Guangya
  • Zhao, Xu
  • Hao, Qing
  • Cao, Longlong
  • Ren, Shichuang

Abrégé

According to a computer-implemented method, first information about a resource requirement of an application is sent to a plurality of managed computing clusters. A plurality of predicted deployment results are received from the plurality of managed computing clusters, which indicate whether the application is to be partially or fully and successfully deployed on the plurality of managed computing clusters. In accordance with a determination, from the plurality of predicted deployment results, that a plurality of functions of the application fail to be deployed on a single managed computing cluster, at least two managed computing clusters are selected from the plurality of managed computing clusters and the application is deployed on the at least two managed computing clusters.

Classes IPC  ?

11.

ASSET MAINTENANCE PREDICTION USING INFRARED AND REGULAR IMAGES

      
Numéro d'application CN2022094483
Numéro de publication 2022/247794
Statut Délivré - en vigueur
Date de dépôt 2022-05-23
Date de publication 2022-12-01
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Bertoni Scarton, Tiago
  • Bianchi, Thiago
  • Dias Felicio Junior, Eduardo
  • Pereira, Tarcisio

Abrégé

A method for predicting a time to a failure condition of an asset receives image pairs of a healthy condition asset and historical image pairs of the asset from inspections and at a failure condition of the asset. A first model is trained to rebuild input images to resemble a healthy condition asset. Similarity coefficients are generated for the historical image pairs of a regular and infrared image by use of the rebuilding of images by the first model as a similarity base and historical image pairs include a timestamp of image capture. A second model is trained to predict a time to an asset failure condition based on timestamps of image capture, timestamps of an asset failure condition, and similarity coefficients of the historical images. Responsive to receipt of a real-time image pair, the method computes a predicted time to a failure condition of the asset.

Classes IPC  ?

  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques

12.

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

13.

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

14.

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

15.

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

16.

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  ?

17.

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

18.

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

19.

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

20.

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

21.

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

22.

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

23.

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

24.

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

25.

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

26.

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)

27.

SYNTHESIS OF POLYURETHANE POLYMERS IN FLOW REACTORS

      
Numéro d'application CN2022088194
Numéro de publication 2022/237492
Statut Délivré - en vigueur
Date de dépôt 2022-04-21
Date de publication 2022-11-17
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Erdmann, Tim
  • Park, Nathaniel H.
  • Hedrick, James L.
  • Arrechea, Pedro

Abrégé

Techniques regarding the polymerization of polyurethanes are provided. For example, one or more embodiments described herein can comprise synthesizing, via a polymerization reaction performed within a flow reactor, a polyurethane. The polymerization reaction can polymerize a diol with a diisocyanate.

Classes IPC  ?

28.

DATA SYNCHRONIZATION IN EDGE COMPUTING NETWORKS

      
Numéro d'application EP2022062517
Numéro de publication 2022/238345
Statut Délivré - en vigueur
Date de dépôt 2022-05-09
Date de publication 2022-11-17
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM DEUTSCHLAND GMBH (Allemagne)
Inventeur(s)
  • Paluch, Michal
  • Butucea Panait, Marcel
  • Rueger, Erik
  • Sgobba, Nicolo'

Abrégé

A computer system synchronizes data in an edge computing network. A leader node is elected from a plurality of nodes, wherein the plurality of nodes includes a plurality of follower nodes that each cast a single vote for a candidate node, and wherein the candidate node is elected as the leader node in response to the candidate node receiving votes from a majority of the nodes. The leader node receives a request from a follower node comprising data to be replicated across the nodes, and transmits the data to the other nodes. When a majority of nodes receive the data, the leader node transmits instructions to the nodes to cause each node to commit the data to a data log maintained by each node. Embodiments of the present invention further include a method and program product for synchronizing data in substantially the same manner described above.

Classes IPC  ?

  • H04L 67/1095 - Réplication ou mise en miroir des données, p.ex. l’ordonnancement ou le transport pour la synchronisation des données entre les nœuds du réseau
  • G06F 16/27 - Réplication, distribution ou synchronisation de données entre bases de données ou dans un système de bases de données distribuées; Architectures de systèmes de bases de données distribuées à cet effet
  • 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
  • H04L 67/104 - Réseaux de pairs [P2P]

29.

EFFICIENTLY BATCHING PRE-ENCRYPTED DATA FOR HOMOMORPHIC INFERENCE

      
Numéro d'application EP2022062676
Numéro de publication 2022/238426
Statut Délivré - en vigueur
Date de dépôt 2022-05-10
Date de publication 2022-11-17
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM DEUTSCHLAND GMBH (Allemagne)
Inventeur(s)
  • Sarpatwar, Kanthi
  • Vaculin, Roman
  • Aharoni, Ehud
  • Rayfield, James
  • 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
  • H04L 9/08 - Répartition de clés

30.

OPERATIONAL COMMAND BOUNDARIES

      
Numéro d'application IB2022054100
Numéro de publication 2022/238815
Statut Délivré - en vigueur
Date de dépôt 2022-05-04
Date de publication 2022-11-17
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) INVESTMENT COMPANY LTD. (Chine)
  • IBM DEUTSCHLAND GMBH (Allemagne)
Inventeur(s)
  • Eda, Sasikanth
  • Rakshit, Sarbajit
  • Patil, Sandeep

Abrégé

A method for managing commands utilizing command boundaries includes establishing a first command boundary for a first intelligent virtual assistant operating on a first electronic device. The method also includes, responsive to receiving audio from a plurality of sources within a vicinity of the first electronic device, identifying a portion of the audio from the plurality of sources within the first command boundary. The method also includes, responsive to determining a command is identifiable in the portion of the audio from the plurality of sources within the first command boundary, sending the command to the first intelligent virtual assistant on the first electronic device.

Classes IPC  ?

  • G10L 15/24 - Reconnaissance de la parole utilisant des caractéristiques non acoustiques

31.

RESISTIVE MEMORY DEVICE WITH MAGNETIC LAYER HAVING TOPOLOGICAL SPIN TEXTURES FOR TUNING

      
Numéro d'application CN2022087835
Numéro de publication 2022/233235
Statut Délivré - en vigueur
Date de dépôt 2022-04-20
Date de publication 2022-11-10
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Woo, Seonghoon
  • Kim, Seyoung
  • Kang, Mingu

Abrégé

A resistive memory device includes a magnetic tunnel junction structure. The magnetic tunnel junction structure includes a free magnetic layer. The free magnetic layer includes a magnetic material configurable to host topological spin textures to tune a conductance state of the resistive memory device.

Classes IPC  ?

  • H01L 43/08 - Résistances commandées par un champ magnétique

32.

SECURE DATA ANALYTICS

      
Numéro d'application CN2022088195
Numéro de publication 2022/233236
Statut Délivré - en vigueur
Date de dépôt 2022-04-21
Date de publication 2022-11-10
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Banipal, Indervir Singh
  • Kwatra, Shikhar
  • Foreman, Park
  • Miles, Caleb

Abrégé

Secure data analytics is provided via a process that identifies sensitive data fields of an initial dataset and mappings between the sensitive data fields and other data fields of the dataset, where analytics processing is to be performed on the initial dataset, then, based on an expectation of data fields, of the initial data set, to be used in performance of the analytics processing and on the identified sensitive data fields, selects and applies a masking method to the initial dataset to mask the sensitive data fields and produce a masked dataset, provides the masked dataset to an analytics provider with a request for the analytics processing, and receives, in response, a generated analytics function, generated based on the masked dataset, that is configured to perform the analytics processing, and invokes the generated analytics function against the initial dataset to perform the analytics processing on the initial dataset.

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

33.

HIGH-DENSITY MEMORY DEVICES USING OXIDE GAP FILL

      
Numéro d'application CN2022089031
Numéro de publication 2022/233249
Statut Délivré - en vigueur
Date de dépôt 2022-04-25
Date de publication 2022-11-10
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Standaert, Theodorus E.
  • Edelstein, Daniel Charles
  • Yang, Chih-Chao

Abrégé

A semiconductor structure forms two or more tightly pitched memory devices using a dielectric material for a gap fill material. The approach includes providing two adjacent bottom electrodes in a layer of an insulating material and above a metal layer. Two adjacent pillars are each above one of the two adjacent bottom electrodes where each pillar of the two adjacent pillars is composed of a stack of materials for a memory device. A spacer is around the vertical sides each of the two adjacent pillars. The dielectric material is on the spacer around the vertical sides each of the two adjacent pillars, on the layer of the insulating material between the two adjacent bottom electrodes. The dielectric material fills at least a first portion of a gap between the two adjacent pillars. A low k material covers the dielectric material and exposed portions of the layer of the insulating material.

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

34.

INTERACTIVE DECISION TREE MODIFICATION

      
Numéro d'application CN2022089270
Numéro de publication 2022/233254
Statut Délivré - en vigueur
Date de dépôt 2022-04-26
Date de publication 2022-11-10
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Han, Sier
  • Chen, Bei
  • Xu, Jing
  • Xu, Jing James
  • Zhang, Xueying
  • Wang, Jun
  • Yang, Jihui
  • Wang, Dakuo

Abrégé

An approach is provided in which a method, system, and program product display, on a user interface, at least one of a set of node split parameters in response to receiving a first user selection that selects a node in a decision tree. The selected node branches to a set of child nodes in the decision tree based on the set of node split parameters. The method, system, and program product adjust at least one of the set of node split parameters of the selected node in response to receiving a second user selection. The method, system, and program product modify the decision tree based on the adjusted set of node split parameters. The modified decision tree includes a modified set of child nodes that branch from the selected node based on the adjusted set of node split parameters.

Classes IPC  ?

  • G06F 17/00 - TRAITEMENT ÉLECTRIQUE DE DONNÉES NUMÉRIQUES Équipement ou méthodes de traitement de données ou de calcul numérique, spécialement adaptés à des fonctions spécifiques
  • G06F 9/445 - Chargement ou démarrage de programme

35.

BATTERY CONTROL USING NON-LINEAR RATE-OF-CHANGE FAILURE THRESHOLD(S)

      
Numéro d'application CN2022083392
Numéro de publication 2022/233199
Statut Délivré - en vigueur
Date de dépôt 2022-03-28
Date de publication 2022-11-10
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Singer, Noah
  • Werner, John S.
  • Tsfasman, Arkadiy O.
  • Torok, John
  • Notohardjono, Budy

Abrégé

Rechargeable battery monitoring and control is provided using a non-linear rate-of-change failure threshold. A non-linear rate-of-change failure threshold is obtained indicative of an operational state abnormality in a rechargeable battery cell, and during the operational state of the rechargeable battery cell, a control compares an actual voltage rate-of-change of the rechargeable battery cell to the non-linear rate-of-change failure threshold. Based on the actual voltage rate-of-change of the rechargeable battery cell exceeding the non-linear rate-of-change failure threshold, the control identifies the operational state abnormality in the rechargeable battery cell. Based on identifying the operational state abnormality in the rechargeable battery cell, the control discontinues the operational state of the rechargeable battery cell.

Classes IPC  ?

  • G01R 31/3835 - Dispositions pour la surveillance de variables des batteries ou des accumulateurs, p.ex. état de charge ne faisant intervenir que des mesures de tension

36.

TAPE REPOSITION MANAGEMENT IN TAPE DATA STORAGE DRIVE

      
Numéro d'application CN2022083778
Numéro de publication 2022/233202
Statut Délivré - en vigueur
Date de dépôt 2022-03-29
Date de publication 2022-11-10
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Miyamura, Tsuyoshi
  • Abe, Atsushi
  • Masuda, Setsuko

Abrégé

Tape repositioning management in accordance with the present description, in response to loading a tape in a tape drive, mounting the tape linear tape file system (LTFS) is initiated including reading an index partition on the tape to extract metadata for mounting the tape LTFS, and prior to accessing a data area of the tape in response to any application access request, the tape is repositioned within a data partition to read a vHRTD (virtual High Resolution Tape Directory) recorded in an EOD (End of Data) portion such as an EOD data set, for example, of the data partition. The EOD portion is read to retrieve the vHRTD to facilitate application requested accesses to the tape. In one embodiment, repositioning and stopping the tape at the beginning of the data partition after reading the index partition containing metadata is bypassed.

Classes IPC  ?

  • G06F 12/00 - Accès à, adressage ou affectation dans des systèmes ou des architectures de mémoires

37.

ALTERNATING CYCLIC DEPOSITION OF SELECTIVE METALS AND DIELECTRICS

      
Numéro d'application CN2022085869
Numéro de publication 2022/233217
Statut Délivré - en vigueur
Date de dépôt 2022-04-08
Date de publication 2022-11-10
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Nguyen, Son
  • Nogami, Takeshi
  • Pranatharthiharan, Balasubramanian S.

Abrégé

A semiconductor structure including a first dielectric layer comprising a first conductive metal feature embedded in the first dielectric layer; and a second dielectric layer including a second conductive metal feature embedded in the second dielectric layer, the second conductive metal feature is above and directly contacts the first conductive metal feature, and an interface between the second conductive metal feature and the second dielectric layer includes a repeating scallop shape along its entire length.

Classes IPC  ?

  • H01L 23/485 - Dispositions pour conduire le courant électrique vers le ou hors du corps à l'état solide pendant son fonctionnement, p.ex. fils de connexion ou bornes formées de couches conductrices inséparables du corps semi-conducteur sur lequel elles ont été déposées formées de structures en couches comprenant des couches conductrices et isolantes, p.ex. contacts planaires
  • H01L 21/285 - Dépôt de matériaux conducteurs ou isolants pour les électrodes à partir d'un gaz ou d'une vapeur, p.ex. condensation
  • C23C 16/52 - Commande ou régulation du processus de dépôt

38.

COMMUNICATION COORDINATION AND NODE SYNCHRONIZATION FOR ENHANCED QUANTUM CIRCUIT OPERATION EMPLOYING A HYBRID CLASSICAL/QUANTUM SYSTEM

      
Numéro d'application EP2022061633
Numéro de publication 2022/233750
Statut Délivré - en vigueur
Date de dépôt 2022-04-29
Date de publication 2022-11-10
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM DEUTSCHLAND GMBH (Allemagne)
Inventeur(s) Ruedinger, Jeffrey

Abrégé

Systems, computer-implemented methods and/or computer program products are provided for operating a quantum circuit on a set of qubits. According to an embodiment, a system can facilitate control of data transfer between two or more nodes. The 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 comprise a compilation component that compiles one or more communication paths between two or more nodes for transfer of yet-undetermined data along the one or more compiled communication paths. Alternatively and/or additionally, the computer executable components can comprise an interval boundary implementation component that can commonly set and trigger a successively repeating time point at two or more nodes to align performance at the two or more nodes of one or more quantum gate operations.

Classes IPC  ?

  • G06N 10/80 - Programmation quantique, p.ex. interfaces, langages ou boîtes à outils de développement logiciel pour la création ou la manipulation de programmes capables de fonctionner sur des ordinateurs quantiques; Plate-formes pour la simulation ou l’accès aux ordinateurs quantiques, p.ex. informatique quantique en nuage

39.

BACKEND QUANTUM RUNTIMES

      
Numéro d'application EP2022061770
Numéro de publication 2022/233823
Statut Délivré - en vigueur
Date de dépôt 2022-05-03
Date de publication 2022-11-10
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM DEUTSCHLAND GMBH (Allemagne)
Inventeur(s)
  • Johnson, Blake
  • Faro Sertage, Ismael
  • Bishop, Lev
  • Gambetta, Jay
  • Morales, Renier

Abrégé

Systems and techniques that facilitate backend quantum runtimes are provided. In various embodiments, a system can comprise a backend receiver component that can access a computer program provided by a client device, wherein the computer program is configured to indicate a quantum computation. In various aspects, the system can further comprise a backend runtime manager component that can host the computer program by instantiating a backend classical computing resource. In various instances, the backend classical computing resource can orchestrate both classical execution of the computer program and quantum execution of the quantum computation indicated by the computer program.

Classes IPC  ?

  • G06N 10/80 - Programmation quantique, p.ex. interfaces, langages ou boîtes à outils de développement logiciel pour la création ou la manipulation de programmes capables de fonctionner sur des ordinateurs quantiques; Plate-formes pour la simulation ou l’accès aux ordinateurs quantiques, p.ex. informatique quantique en nuage
  • G06F 9/50 - Allocation de ressources, p.ex. de l'unité centrale de traitement [UCT]

40.

DEPLOYING PARALLELIZABLE DEEP LEARNING MODELS BY ADAPTING TO THE COMPUTING DEVICES

      
Numéro d'application CN2022076419
Numéro de publication 2022/227798
Statut Délivré - en vigueur
Date de dépôt 2022-02-16
Date de publication 2022-11-03
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Yin, Kunyan
  • Yu, Chao
  • Chen, Mingjin
  • Sun, Teng
  • Li, Xiaoye

Abrégé

In an approach to deploying parallelizable deep learning models by adapting to the computing devices, a deep learning model is split into a plurality of slices, where each slice can exchange data with related slices. Virtual models are created from the plurality of slices, where the virtual models are based on capabilities of a plurality of devices on which the one or more virtual models are to be deployed, and further where each virtual model contains each slice of the plurality of slices. The one or more virtual models are stored in a cache. Responsive to determining that the deep learning model is to be deployed on one or more devices, a candidate model is selected from the virtual models in the cache, where the selection is based on information from a device monitor about the devices.

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

41.

FAIR SIMULTANEOUS COMPARISON OF PARALLEL MACHINE LEARNING MODELS

      
Numéro d'application CN2022079186
Numéro de publication 2022/227860
Statut Délivré - en vigueur
Date de dépôt 2022-03-04
Date de publication 2022-11-03
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
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 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  ?

  • G06N 20/00 - Apprentissage automatique
  • G06F 9/50 - Allocation de ressources, p.ex. de l'unité centrale de traitement [UCT]

42.

HARDWARE ACCELERATION FOR COMPUTING EIGENPAIRS OF A MATRIX

      
Numéro d'application EP2022059708
Numéro de publication 2022/228883
Statut Délivré - en vigueur
Date de dépôt 2022-04-12
Date de publication 2022-11-03
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM UNITED KINGDOM LIMITED (Royaume‑Uni)
Inventeur(s)
  • Nowicki, Tomasz
  • Onen, Oguzhan, Murat
  • Gokmen, Tayfun
  • Kalantzis, Vasileios
  • Wu, Chai, Wah
  • Squillante, Mark
  • 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  ?

  • G06G 7/163 - Dispositions pour l'exécution d'opérations de calcul, p.ex. amplificateurs spécialement adaptés à cet effet pour la multiplication ou la division utilisant une impédance variable commandée par un des signaux d'entrée, une amplification variable, ou une fonction de transfert

43.

INTEGRATING AND INCREASING PERFORMANCE OF DISAGGREGATED MEMORY IN OPERATING SYSTEMS

      
Numéro d'application EP2022059957
Numéro de publication 2022/228901
Statut Délivré - en vigueur
Date de dépôt 2022-04-13
Date de publication 2022-11-03
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM UNITED KINGDOM LIMITED (Royaume‑Uni)
Inventeur(s)
  • Koutsovasilis, Panagiotis
  • Gazzetti, Michele
  • Pinto, Christian

Abrégé

Local memory and disaggregated memory may be identified and monitored for integrating disaggregated memory in a computing system. Candidate data may be migrated between the local memory and disaggregated memory to optimize allocation of disaggregated memory and migrated data according to a dynamic set of migration criteria.

Classes IPC  ?

  • G06F 9/50 - Allocation de ressources, p.ex. de l'unité centrale de traitement [UCT]
  • G06F 12/08 - Adressage ou affectation; Réadressage dans des systèmes de mémoires hiérarchiques, p.ex. des systèmes de mémoire virtuelle

44.

PIPELINED HARDWARE TO ACCELERATE MODULAR ARITHMETIC OPERATIONS

      
Numéro d'application IB2022052580
Numéro de publication 2022/229724
Statut Délivré - en vigueur
Date de dépôt 2022-03-22
Date de publication 2022-11-03
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM ISRAEL SCIENCE AND TECHNOLOGY LTD. (Israël)
  • IBM (CHINA) INVESTMENT COMPANY LTD. (Chine)
Inventeur(s) Rao, Rajat

Abrégé

The pipelined hardware is directed to elliptic curve cryptography scalar multiplications in a generic field with heavy pipelining between field operations. A bit width is determined of operands in data to be processed by a modular hardware block. It is checked whether the bit width of the operands matches a fixed bit width of the modular hardware block. In response to there being a match, the modular hardware block processes the operands. In response to there being a mismatch, the operands are modified to be accommodated by the fixed bit width of the modular hardware block.

Classes IPC  ?

  • G06F 7/575 - Unités arithmétiques et logiques de base, c. à d. dispositifs pouvant être sélectionnés pour accomplir soit l'addition, soit la soustraction, soit une parmi plusieurs opérations logiques, utilisant, au moins partiellement, les mêmes circuits

45.

USING SPEECH TO TEXT DATA IN TRAINING TEXT TO SPEECH MODELS

      
Numéro d'application IB2022053095
Numéro de publication 2022/229743
Statut Délivré - en vigueur
Date de dépôt 2022-04-04
Date de publication 2022-11-03
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) INVESTMENT COMPANY LTD. (Chine)
  • IBM ISRAEL - SCIENCE & TECHNOLOGY LTD. (Israël)
Inventeur(s)
  • Freed, Andrew
  • Thotempudi, Vamshi Krishna
  • Perepa, Sujatha

Abrégé

A system and method for providing a text to speech output by receiving user audio data, determining a user region-specific-pronunciation classification according to the audio data, determining text for a response to the user according to the audio data, identifying a portion from the text, where a region specific-pronunciation dictionary includes the portion, and using a phoneme string, from the dictionary selected according to the user region-specific pronunciation classification, for the word in a text to speech output to the user.

Classes IPC  ?

  • G06F 3/16 - Entrée acoustique; Sortie acoustique
  • G10L 13/08 - Analyse de texte ou génération de paramètres pour la synthèse de la parole à partir de texte, p.ex. conversion graphème-phonème, génération de prosodie ou détermination de l'intonation ou de l'accent tonique

46.

FEDERATED TRAINING OF MACHINE LEARNING MODELS

      
Numéro d'application CN2022076297
Numéro de publication 2022/227792
Statut Délivré - en vigueur
Date de dépôt 2022-02-15
Date de publication 2022-11-03
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Li, Shuo
  • Wan, Meng
  • Zhang, Apeng
  • Wang, Xiaobo
  • Sun, Shengyan

Abrégé

The invention provides a federated model based on locally trained machine learning models. In embodiments, a method includes: monitoring, by a computing device, cached data of an entity in a networked group of entities for changes in data, wherein the cached data includes model output data from worker models and a master feature model of the entity, and wherein the worker models and the master model comprise machine learning models; iteratively updating, by the computing device, parameter weights of the worker models and the master feature model based on the monitoring, thereby generating updated worker models and an updated master feature model; and providing, by the computing device, the updated worker models and an updated master feature model to a remote federated server for use in a federated model incorporating the updated worker models and an updated master feature model of the entity with other updated master feature models and other updated worker models of other entities in the networked group of entities.

Classes IPC  ?

47.

LOCATE NEURAL NETWORK PERFORMANCE HOT SPOTS

      
Numéro d'application CN2022079778
Numéro de publication 2022/227869
Statut Délivré - en vigueur
Date de dépôt 2022-03-08
Date de publication 2022-11-03
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Chen, Qinyue
  • Cao, Li
  • Li, Feifei
  • Su, Han

Abrégé

Implementation for locating performance hot spots include collecting sample data having instruction addresses, the sample data being for a neural network model and determining instructions in the instruction addresses that are performance hot spots. A listing file is used to map the instructions of the sample data that are performance hot spots to locations in a lower-level intermediate representation. A mapping file is used to map the locations of the lower-level intermediate representation that are performance hot spots to operations in one or more higher-level representations, one or more of the operations corresponding to the performance hot spots, the mapping file being generated from compiling the neural network model.

Classes IPC  ?

48.

DATABASE SECURITY

      
Numéro d'application CN2022080350
Numéro de publication 2022/227887
Statut Délivré - en vigueur
Date de dépôt 2022-03-11
Date de publication 2022-11-03
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Sun, Sheng Yan
  • Li, Shuo
  • Wang, Xiaobo
  • Cao, Li
  • Zhang, Hong Mei

Abrégé

A method includes: obtaining, by a database server, security policies associated with a database hosted by the database server; obtaining, by the database server, first database data associated with the database; creating, by the database server, a knowledge distillation model using the security policies and the first database data; obtaining, by the database server, second database data associated with the database; creating, by the database server, a classification model using the second database data and an output of the knowledge distillation model; receiving, by the database server, a client database request to the database; determining, by the database server, a new security policy rule set using the classification model; and applying, by the database server, the new security policy rule set to the client database request.

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

49.

INPUT-ENCODING WITH FEDERATED LEARNING

      
Numéro d'application CN2022088727
Numéro de publication 2022/228335
Statut Délivré - en vigueur
Date de dépôt 2022-04-24
Date de publication 2022-11-03
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Yueksel, Hazar
  • Kingsbury, Brian E. D.
  • Varshney, Kush Raj
  • Bose, Pradip
  • Verma, Dinesh C.
  • Wang, Shiqiang
  • Vega, Augusto
  • Verma, Ashish
  • Chakraborty, Supriyo

Abrégé

An input-encoding technique in conjunction with federation is disclosed. Participating entities are arranged in a collaborative relationship. Each participating entity trains a machine learning model with an encoder on a training data set. The performance of each of the models is measured and at least one of the models is selectively identified based on the measured performance. An encoder of the selectively identified machine learning model is shared with each of the participating entities. The shared encoder is configured to be applied by the participating entities to train the first and second machine learning models, which are configured to be merged and shared in the federated learning environment.

Classes IPC  ?

  • G06N 99/00 - Matière non prévue dans les autres groupes de la présente sous-classe

50.

PARAMETRIC CURVES BASED DETECTOR NETWORK

      
Numéro d'application EP2022059337
Numéro de publication 2022/228857
Statut Délivré - en vigueur
Date de dépôt 2022-04-07
Date de publication 2022-11-03
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM UNITED KINGDOM LIMITED (Royaume‑Uni)
Inventeur(s)
  • Shoshan, Yoel
  • Ratner, Vadim

Abrégé

Embodiments may provide improved techniques for object detection so as to improve the finding of objects and the accuracy of the boundary predictions using parametric curves defined by multiple control points. For example, in an embodiment, a method may be implemented in a computer system comprising a processor, memory accessible by the processor, and computer program instructions stored in the memory and executable by the processor, the method may comprise receiving an image, extracting from the image a plurality of features related to objects shown in the image, generating, from the extracted features, at least one plurality of points representing a parametric curve bounding an object shown in the image; and outputting the plurality of points representing the parametric curve.

Classes IPC  ?

  • G06V 10/82 - utilisant les réseaux neuronaux
  • G06V 10/44 - Extraction de caractéristiques locales par analyse des parties du motif, p.ex. par détection d’arêtes, de contours, de boucles, d’angles, de barres ou d’intersections; Analyse de connectivité, p.ex. de composantes connectées
  • G06V 10/46 - Descripteurs pour la forme, descripteurs liés au contour ou aux points, p.ex. transformation de caractéristiques visuelles invariante à l’échelle [SIFT] ou sacs de mots [BoW]; Caractéristiques régionales saillantes (extraction de caractéristiques de couleur G06V 10/56)

51.

SYSTEM AND METHOD FOR PERMISSIONED BLOCKCHAIN ACCESS INTO A COMPUTING NETWORK

      
Numéro d'application EP2022060366
Numéro de publication 2022/228960
Statut Délivré - en vigueur
Date de dépôt 2022-04-20
Date de publication 2022-11-03
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM UNITED KINGDOM LIMITED (Royaume‑Uni)
Inventeur(s)
  • Oluyemi, Oluwanifemi
  • Ran, Chuan
  • Movva, Vamsee
  • Sharif, A. Jaylani

Abrégé

A computer-implemented system, method and computer program product for providing access to a network of computing nodes that includes: requesting, by a client, access into a host node in the network, preferably a private network; selecting a digital certificate issuer; verifying, by the digital certificate issuer, the identity of the client's token; adding, by the certificate issuer, a nonce to a distributed ledger; and granting the client access to the host node in the network. The computing nodes in an embodiment are ranked based upon CPU capacity, and computing nodes with highest CPU capacity ranking are selected to participate in a proof-of-capacity consensus to solve for the nonce.

Classes IPC  ?

  • H04L 9/40 - Protocoles réseaux de sécurité
  • G06Q 20/38 - Architectures, schémas ou protocoles de paiement - leurs détails
  • 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
  • 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 9/00 - Dispositions pour les communications secrètes ou protégées
  • H04L 67/1097 - pour le stockage distribué de données dans des réseaux, p.ex. dispositions de transport pour le système de fichiers réseau [NFS], réseaux de stockage [SAN] ou stockage en réseau [NAS]
  • G06F 21/31 - Authentification de l’utilisateur
  • G06F 21/33 - Authentification de l’utilisateur par certificats
  • G06F 21/41 - Authentification de l’utilisateur par une seule ouverture de session qui donne accès à plusieurs ordinateurs

52.

SYNCHRONOUS DIVIDER BASED ON CASCADED RETIMING

      
Numéro d'application EP2022060846
Numéro de publication 2022/229068
Statut Délivré - en vigueur
Date de dépôt 2022-04-25
Date de publication 2022-11-03
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM DEUTSCHLAND GMBH (Allemagne)
Inventeur(s)
  • Kossel, Marcel
  • Francese, Pier Andrea
  • Prathapan, Mridula
  • Yonar, Abdullah Serdar

Abrégé

A synchronous divider circuit (100) with time-synchronized outputs (114, 116). The synchronous divider circuit includes a plurality of divider stages (118, 120) including each a D-flip-flop circuit (102, 106) and a respective retiming flip-flop circuit (104, 108), wherein an output terminal of the retiming flip-flop circuit of a current divider stage is connected to an input of the D-flip-flop circuit of a next divider stage, and wherein the current divider stage includes an additional retiming flip-flop circuit (110), wherein the output terminal of the retiming flip-flop circuit (104) of the current divider stage is connected to an input terminal of the additional retiming flip-flop circuit of the current divider stage, so that an output signal of the additional retiming flip-flop circuit of the current divider stage and an output terminal of the retiming flip-flop circuit of the next divider stage are time-synchronized with respect to each other.

Classes IPC  ?

  • H03K 21/10 - Circuits de sortie comprenant des circuits logiques
  • H03K 23/58 - Signaux d'ouverture de porte ou d'horloge non appliqués à tous les étages, c. à d. compteurs asynchrones

53.

MEMORY MAPPING OF ACTIVATIONS FOR CONVOLUTIONAL NEURAL NETWORK EXECUTIONS

      
Numéro d'application IB2022052592
Numéro de publication 2022/229727
Statut Délivré - en vigueur
Date de dépôt 2022-03-22
Date de publication 2022-11-03
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM ISRAEL SCIENCE AND TECHNOLOGY LTD. (Israël)
  • IBM (CHINA) INVESTMENT COMPANY LTD. (Chine)
Inventeur(s)
  • Dazzi, Martino
  • Francese, Pier Andrea
  • Sebastian, Abu
  • Eleftheriou, Evangelos Stavros

Abrégé

A memory controller circuit for mapping data of a convolutional neural network to a physical memory is disclosed. The memory controller circuit comprises a receiving unit to receive a selection parameter value, and a mapping unit to map pixel values of one layer of the convolutional neural network to memory words of the physical memory according to one of a plurality of mapping schemas, wherein the mapping is dependent on the value of the received selection parameter value.

Classes IPC  ?

54.

COOLANT-COOLED HEAT SINK(S) WITH ASSOCIATED ULTRA-VIOLET LIGHT ASSEMBLY

      
Numéro d'application IB2022053511
Numéro de publication 2022/229772
Statut Délivré - en vigueur
Date de dépôt 2022-04-14
Date de publication 2022-11-03
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM ISRAEL - SCIENCE & TECHNOLOGY LTD (Israël)
  • IBM (CHINA) INVESTMENT COMPANY LTD (Chine)
Inventeur(s)
  • Zhang, Hongqing
  • Lewison, David J.
  • Pompeo, Frank L.
  • Busby, James
  • Bunt, Jay A.
  • Molinelli Acocella, Joyce E
  • Sunder, Madhana
  • Ellsworth, Jr, Michael J

Abrégé

Apparatuses and methods of fabrication are provided which include a coolant-cooled heat sink (210) through which coolant passes to facilitate cooling the coolant-cooled heat sink (210), and an ultra-violet (UV) light assembly (500) associated with the coolant-cooled heat sink (210) for directing UV light towards an interior surface of the coolant-cooled heat sink (210) across which the coolant passes. The UV light inhibits bacterial growth at the interior surface of the coolant-cooled heat sink (210).

Classes IPC  ?

  • H01L 23/473 - Dispositions pour le refroidissement, le chauffage, la ventilation ou la compensation de la température impliquant le transfert de chaleur par des fluides en circulation par une circulation de liquides
  • G06F 1/20 - Moyens de refroidissement
  • H05K 7/20 - Modifications en vue de faciliter la réfrigération, l'aération ou le chauffage

55.

COMPOSITE EVENT ESTIMATION THROUGH TEMPORAL LOGIC

      
Numéro d'application CN2022079546
Numéro de publication 2022/222623
Statut Délivré - en vigueur
Date de dépôt 2022-03-07
Date de publication 2022-10-27
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Samel, Karan Manoj
  • Subramanian, Dharmashankar

Abrégé

A computer-implemented method of discovering a composite durational event structure through temporal logic includes identifying a plurality of temporally related atomic events from temporal data trajectories of a multivariate dataset according to a definition of an atomic event predicate. At least one composite event having a durational event structure of at least some of the plurality of the temporally related atomic events is discovered by machine learning. An action is performed that is selected from a predetermined list associated with the composite event.

Classes IPC  ?

  • H04W 24/00 - Dispositions de supervision, de contrôle ou de test

56.

SOFTWARE UPGRADING USING DYNAMIC LINK LIBRARY INJECTION

      
Numéro d'application EP2022060046
Numéro de publication 2022/223437
Statut Délivré - en vigueur
Date de dépôt 2022-04-14
Date de publication 2022-10-27
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM UNITED KINGDOM LIMITED (Royaume‑Uni)
Inventeur(s) Berube, Christopher

Abrégé

Systems, methods, and computer programming products for loading and upgrading software using DLL files injected into a running target program process by a DLL manager of an injection program. Background services of the injection program allocate virtual memory for the code and data within the memory addresses dedicated to the target program process and injects the code and data by writing the code and data of the DLL manager to the virtual memory. A remote thread created within the target program process, controlled by the injection program, executes the DLL manager code, allowing the DLL manager to load and unload DLL files within the target program process. During runtime of the target program process the software can be upgraded, without rebooting the OS executing the target program process, by instructing the DLL manager to unload the DLL file(s), and load and/or re-load updated DLL file(s) within the target program process.

Classes IPC  ?

  • G06F 9/445 - Chargement ou démarrage de programme
  • G06F 8/656 - Mises à jour pendant le fonctionnement

57.

EMBEDDED TRANSMIT/RECEIVE SWITCH

      
Numéro d'application IB2022053510
Numéro de publication 2022/224096
Statut Délivré - en vigueur
Date de dépôt 2022-04-14
Date de publication 2022-10-27
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM ISRAEL - SCIENCE & TECHNOLOGY LTD (Israël)
  • IBM (CHINA) INVESTMENT COMPANY LTD (Chine)
Inventeur(s)
  • Lee, Wooram
  • Sadhu, Bodhisatwa

Abrégé

A TX/RX switch includes a power amplifier (PA), a Low Noise Amplifier (LNA), and an antenna connection. The PA is connected to a PA matching network that has a PA network impedance and a common PA-LNA impedance connected in one or more series-parallel combinations in different embodiments in a transmitting mode. The LNA is connected to a LNA matching network that has a LNA network impedance and the same common PA-LNA impedance connected in one or more series-parallel combinations in a receive mode. A mode switch can connect the common PA-LNA impedance in different configurations to enable the transmitting and receiving mode respectively. In some embodiments, the mode switch can short or open circuit the connection of the PA matching circuit or the LNA matching circuit to the antenna. In some embodiments, the mode switch can also turn power on or off to the PA or the LNA when the switch is in a mode where the respective amplifier is not selected. Accordingly, with specific design limitations on the common PA-LNA impedance combined with different mode switch configurations of the TX/RX switch components in either the TX or RX mode, the TX/RX switch operates within a design bandwidth without transmission lines embedded in the TX/RX switch circuitry and provides optimum power transfer from/to the antenna at the antenna connection with reduced noise.

Classes IPC  ?

  • H04B 1/40 - Circuits
  • H04B 1/44 - Commutation transmission-réception
  • H01Q 5/00 - Dispositions pour faire fonctionner simultanément des antennes sur plusieurs gammes d'ondes, p.ex. dispositions bibandes ou multibandes 

58.

VM FILE MANAGEMENT USING FILE-LEVEL SNAPSHOTS

      
Numéro d'application CN2022077838
Numéro de publication 2022/222602
Statut Délivré - en vigueur
Date de dépôt 2022-02-25
Date de publication 2022-10-27
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Wang, Dalong
  • Chen, Qinyue
  • Feng, Xuelian
  • Liang, Yang
  • Feng, Yangyang
  • Xiong, Bin

Abrégé

VM file management includes detecting a user request to access to a virtual machine (VM) and searching a pre-defined list to determine whether the user requesting access is identified on the list. If so, a file-level snapshot is generated prior to enabling modification of a VM file by the user. The file-level snapshot includes a user attribute and is added as the top layer of a stack. The user attribute indicates a role of the user for whom the file-level snapshot is created. Each layer of the stack contains one or more other file-level snapshots. The VM file is written in the file's entirety to the snapshot in response to the user modifying the VM file. Based on the user attribute of each snapshot, a set of snapshots is selected from the stack, and the VM is modified by merging the VM files belonging to the set of snapshots selected.

Classes IPC  ?

  • G06F 11/14 - Détection ou correction d'erreur dans les données par redondance dans les opérations, p.ex. en utilisant différentes séquences d'opérations aboutissant au même résultat
  • G06F 16/11 - Administration des systèmes de fichiers, p.ex. détails de l’archivage ou d’instantanés

59.

SAFE EXECUTION OF PROGRAMS THAT MAKE OUT-OF-BOUNDS REFERENCES

      
Numéro d'application EP2022057546
Numéro de publication 2022/223224
Statut Délivré - en vigueur
Date de dépôt 2022-03-22
Date de publication 2022-10-27
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM UNITED KINGDOM LIMITED (Royaume‑Uni)
Inventeur(s)
  • Chen, Tong
  • Buyuktosunoglu, Alper
  • Boivie, Richard
  • Saileshwar, Gururaj

Abrégé

A method, system and apparatus for protecting a program from making out of bounds memory references, including determining whether an instruction makes out of bound references where the instruction that loads data from or stores data to a buffer refers to addresses that are outside the bounds of the buffer, and responsive to the determining that the instruction refers to addresses that are partially out of bounds, changing an execution of the load or the store including modifying the starting address specified in the instruction, a length of data specified in the instruction, or a value for an out of bounds reference to load or store data that is within the bounds of the buffer.

Classes IPC  ?

  • G06F 21/54 - Contrôle des usagers, programmes ou dispositifs de préservation de l’intégrité des plates-formes, p.ex. des processeurs, des micrologiciels ou des systèmes d’exploitation au stade de l’exécution du programme, p.ex. intégrité de la pile, débordement de tampon ou prévention d'effacement involontaire de données par ajout de routines ou d’objets de sécurité aux programmes

60.

AUTOMATIC CONTAINER MIGRATION SYSTEM

      
Numéro d'application CN2022086829
Numéro de publication 2022/218377
Statut Délivré - en vigueur
Date de dépôt 2022-04-14
Date de publication 2022-10-20
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Chen, Yao
  • Zou, Haibo
  • Kong, Deshuo
  • Jie, Zheng

Abrégé

A method, apparatus, system, and computer program product for container migration. A set of processors operates to identify a set of containers for a set of applications for a migration using a set of application performance metrics. The set of processors operates to create a set of tasks following a migration strategy to move the set of containers for the set of applications identified for the migration from a set of current physical host computers to a set of target physical host computers using the set of application performance metrics. The set of processors operates to move the set of containers for the set of applications from the set of current physical host computers to the set of target physical host computers using the set of tasks following the migration strategy.

Classes IPC  ?

  • 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

61.

VERTICAL BIPOLAR JUNCTION TRANSISTOR

      
Numéro d'application IB2022052519
Numéro de publication 2022/219433
Statut Délivré - en vigueur
Date de dépôt 2022-03-21
Date de publication 2022-10-20
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM ISRAEL SCIENCE AND TECHNOLOGY LTD. (Israël)
  • IBM (CHINA) INVESTMENT COMPANY LTD. (Chine)
Inventeur(s)
  • Reznicek, Alexander
  • Hekmatshoartabari, Bahman
  • Ning, Tak
  • Jiang, Liying

Abrégé

A vertical bipolar junction transistor may include an intrinsic base epitaxially grown on a first emitter or collector, the intrinsic base being compositionally graded, a second collector or emitter formed on the intrinsic base, and an extrinsic base formed all-around the intrinsic base. The extrinsic base may be isolated from the first emitter or collector by a first spacer. The extrinsic base may be isolated from the second collector or emitter by a second spacer. The extrinsic base may have a larger bandgap than the intrinsic base. The intrinsic base may be doped with a p-type dopant, and the first emitter or collector, and the second collector or emitter may be doped with an n-type dopant. The first emitter or collector, the intrinsic base, and the second collector or emitter may be made of a III-V semiconductor material.

Classes IPC  ?

  • H01L 29/66 - Types de dispositifs semi-conducteurs
  • H01L 29/04 - Corps semi-conducteurs caractérisés par leur structure cristalline, p.ex. polycristalline, cubique ou à orientation particulière des plans cristallins

62.

TRANSFORMER-BASED MODEL KNOWLEDGE GRAPH LINK PREDICTION

      
Numéro d'application IB2022052547
Numéro de publication 2022/219435
Statut Délivré - en vigueur
Date de dépôt 2022-03-21
Date de publication 2022-10-20
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) INVESTMENT COMPANY LTD. (Chine)
  • IBM ISRAEL - SCIENCE & TECHNOLOGY LTD. (Israël)
Inventeur(s)
  • Rossiello, Gaetano
  • Gliozzo, Alfio
  • Wang, Xuan

Abrégé

A system, product, and method are provided for improving knowledge graph (KG) link prediction using transformer-based artificial neural networks. A first topic model is leveraged against a first dataset derived from a KG containing a plurality of first triples. The first triples include first entities and first edges connecting the first entities to represent relationships between the first connected entities. A first similarity function is applied to the first connected entities of the first triples to provide respective first similarity scores. A first subset of one of more first triples is selected from the plurality of first triples based upon the first similarity scores. An artificial neural network is trained using the selected first subset of one or more first triples.

Classes IPC  ?

63.

AUGMENTED INTELLIGENCE BASED VIRTUAL MEETING USER EXPERIENCE IMPROVEMENT

      
Numéro d'application CN2022079553
Numéro de publication 2022/218062
Statut Délivré - en vigueur
Date de dépôt 2022-03-07
Date de publication 2022-10-20
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Sood, Siddhartha
  • Jain, Sanket
  • Sharma, Ajay Kumar
  • Uddin, Mohammad Kafee
  • Joshi, Manoj Kumar

Abrégé

In an approach for improving the virtual meeting user experience, a processor detects a user disengaging from a virtual meeting having at least two participants for a pre-set period of time or for a pre-set percentage of a total allotted time of a pre-scheduled virtual meeting. A processor retrieves data from a database. A processor prepares a summary that is tailored to a profile of the user and that covers a portion of the virtual meeting during which the user was disengaged. A processor detects the user reconnecting to the virtual meeting. A processor determines whether the user will review the summary before rejoining the virtual meeting. Responsive to determining the user will review the summary before rejoining the virtual meeting, a processor prompts the user with a set of default user preferences to review the summary. A processor outputs the summary to the user.

Classes IPC  ?

  • H04L 12/18 - Dispositions pour la fourniture de services particuliers aux abonnés pour la diffusion ou les conférences

64.

COMPACT DELAY LINES AND ASSOCIATED CIRCUITRY USEFUL FOR WIDEBAND PHASED-ARRAY SYSTEM

      
Numéro d'application EP2022057348
Numéro de publication 2022/218651
Statut Délivré - en vigueur
Date de dépôt 2022-03-21
Date de publication 2022-10-20
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM UNITED KINGDOM LIMITED (Royaume‑Uni)
Inventeur(s)
  • Chakraborty, Sudipto
  • Sadhu, Bodhisatwa
  • Lee, Wooram

Abrégé

A phased array system includes tunable delay elements having active delay element(s) and passive delay element(s). A second resolution by the passive delay element is smaller than a first resolution by the active delay element, and the resolution corresponds to delay applied to an input signal and has discrete steps for phase over which the delay element can be operated. For multiple sets of tunable delay elements, a calibration process sets, for one set of the delay elements, all but an n-th active delay element and the passive delay element to a first phase, and the n-th active delay element to a second phase. In a second set of the delay elements, all of the active delay elements are set to the first phase and the passive delay element is set to the second phase. A phase difference is detected and adjusted to meet a criterion between the two sets.

Classes IPC  ?

65.

IDENTIFYING PROBLEM GRAPHS IN AN INFORMATION TECHNOLOGY INFRASTRUCTURE NETWORK

      
Numéro d'application EP2022057780
Numéro de publication 2022/214324
Statut Délivré - en vigueur
Date de dépôt 2022-03-24
Date de publication 2022-10-13
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM UNITED KINGDOM LIMITED (Royaume‑Uni)
Inventeur(s)
  • Taher, Luke
  • Collender, Kilian, David, Joseph
  • Diaz Garcia, Jorge, Alberto
  • Scates, Charles, John

Abrégé

Method and system are provided for identifying problem graphs in an information technology infrastructure network. The method includes: selecting a set of nodes in a topology, wherein the nodes of the topology represent resources in an information technology infrastructure network; querying historical timeseries data for the selected nodes, wherein the timeseries data records changes in state of the resources represented by the nodes; and analyzing the timeseries data for the selected nodes across problem time periods to produce a set of historical directional rules defining one or more historic problem graph. The method may search the historic problem graphs for current problem state nodes to determine likely causing nodes and affected nodes of a current problem.

Classes IPC  ?

  • H04L 41/147 - pour prédire le comportement du réseau
  • H04L 41/0631 - en utilisant l’analyse des causes profondes; en utilisant l’analyse de la corrélation entre les notifications, les alarmes ou les événements en fonction de critères de décision, p.ex. la hiérarchie ou l’analyse temporelle ou arborescente
  • H04L 41/069 - en utilisant des journaux de notifications; Post-traitement des notifications
  • H04L 41/12 - Découverte ou gestion des topologies de réseau

66.

AUTOMATED PRESSURE LEVEL DETECTION AND CORRECTION

      
Numéro d'application EP2022058856
Numéro de publication 2022/214424
Statut Délivré - en vigueur
Date de dépôt 2022-04-04
Date de publication 2022-10-13
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM UNITED KINGDOM LIMITED (Royaume‑Uni)
Inventeur(s)
  • Luo, Deng Xin
  • Guo, Miao
  • Yang, Xiang, Yu
  • Wang, Yi Ming
  • Zhang, Yan, Yu
  • Wang, Wen

Abrégé

A method, system, and computer program product for implementing automated pressure level detection and correction is provided. The method includes retrieving from sensors, measurement attributes associated with geological conditions occurring during a mining process. Subsequently, threshold levels configured to activate an alarm associated with measurement attributes exceeding the threshold levels are determined and code is executed with respect to the threshold levels. A combined threshold severity level associated with the safety threshold levels is determined and code is executed with respect to the safety threshold levels. A combined clustering level associated with the safety threshold levels is determined and a difference value between the combined threshold severity level and combined clustering level is generated. A relationship between the difference value and a threshold value is determined and automated software and hardware control systems are enabled for controlling machinery associated with the mining process resulting in operation of the machinery.

Classes IPC  ?

  • E21F 17/18 - Adaptations particulières des dispositifs de signalisation ou d'alarme

67.

INTELLIGENT IDENTIFICATION OF AN EXECUTION ENVIRONMENT

      
Numéro d'application CN2022085558
Numéro de publication 2022/214029
Statut Délivré - en vigueur
Date de dépôt 2022-04-07
Date de publication 2022-10-13
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Zhang, Apeng
  • Gao, Lei
  • Wang, Jin
  • Xu, Jing
  • Wang, Jun
  • Yu, Donghai

Abrégé

Mechanisms are provided for intelligently identifying an execution environment to execute a computing job. An execution time of the computing job in each execution environment of a plurality of execution environments is predicted by applying a set of existing machine learning models matching execution context information and key parameters of the computing job and execution environment information of the execution environment. The predicted execution time of the machine learning models is aggregated. The aggregated predicted execution times of the computing job are summarized for the plurality of execution environments. Responsive to a selection of an execution environment from the plurality of execution environments based on the summary of the aggregated predicted execution times of the computing job, the computing job is executed in the selected execution environment. Related data during the execution of the computing job in the selected execution environment is collected.

Classes IPC  ?

  • G06F 9/50 - Allocation de ressources, p.ex. de l'unité centrale de traitement [UCT]

68.

DEEP NEURAL NETWORK TRAINING

      
Numéro d'application EP2022057494
Numéro de publication 2022/214309
Statut Délivré - en vigueur
Date de dépôt 2022-03-22
Date de publication 2022-10-13
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM UNITED KINGDOM LIMITED (Royaume‑Uni)
Inventeur(s) Gokmen, Tayfun

Abrégé

In a method of training a deep neural network, a processor initializes an element of an A matrix. The element may include a resistive processing unit. A processor determines incremental weight updates by updating the element with activation values and error values from a weight matrix multiplied by a chopper value. A processor reads an update voltage from the element. A processor determines a chopper product by multiplying the update voltage by the chopper value. A processor stores an element of a hidden matrix. The element of the hidden matrix may include a summation of continuous iterations of the chopper product. A processor updates a corresponding element of a weight matrix based on the element of the hidden matrix reaching a threshold state.

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

69.

HEAT SINKS WITH BEYOND-BOARD FINS

      
Numéro d'application IB2022053016
Numéro de publication 2022/214923
Statut Délivré - en vigueur
Date de dépôt 2022-03-31
Date de publication 2022-10-13
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM ISRAEL - SCIENCE & TECHNOLOGY LTD (Israël)
  • IBM (CHINA) INVESTMENT COMPANY LTD (Chine)
Inventeur(s)
  • Tian, Shurong
  • Takken, Todd Edward
  • Rubin, Joshua M.

Abrégé

An apparatus includes a cabinet; an air-mover attached to the cabinet; a circuit board mounted in the cabinet; and an air-cooled heat sink attached in thermal contact with a heat-generating component on the circuit board. The heat sink includes a heat sink base; primary heat removal fins protruding from the heat sink base in a direction away from the circuit board; and secondary heat removal fins protruding from the heat sink base in a direction toward the circuit board. The air-mover is configured to force air between the primary heat removal fins and between the secondary heat removal fins.

Classes IPC  ?

  • H01L 23/34 - Dispositions pour le refroidissement, le chauffage, la ventilation ou la compensation de la température
  • G06F 1/20 - Moyens de refroidissement

70.

PROGRAM CONTEXT MIGRATION

      
Numéro d'application CN2022079552
Numéro de publication 2022/206295
Statut Délivré - en vigueur
Date de dépôt 2022-03-07
Date de publication 2022-10-06
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Correia Villa Real, Lucas
  • Stelmar Netto, Marco Aurelio
  • De Freitas Cunha, Renato Luiz
  • Souza, Renan Francisco Santos
  • Braz, Alan

Abrégé

A collection of code fragments loaded in an interactive development platform for running on a first processor can be received. A candidate fragment in the collection of code fragments can be determined for migration to a second processor based on characterizing the collection of code fragments. Based on a location of the candidate fragment in the collection of code fragments, a spot can be identified in the collection of code fragments to inject a code for saving program context. The code for saving program context can be injected in the identified spot. Responsive to the code for saving program context having run on the first processor and based on a criterion, the program context can be migrated to the second processor.

Classes IPC  ?

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

71.

METHOD FOR ELECTRONIC MESSAGING USING IMAGE BASED NOISY CONTENT

      
Numéro d'application CN2022079742
Numéro de publication 2022/206307
Statut Délivré - en vigueur
Date de dépôt 2022-03-08
Date de publication 2022-10-06
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Hansmann, Uwe Karl
  • Ekambaram, Vijay
  • Marvaniya, Smitkumar Narotambhai
  • Kussmaul, Timo
  • Stober, Thomas
  • Mondal, Sneha

Abrégé

A method comprising receiving an electronic message of an electronic communication system. An image based noisy content may be generated. The image based noisy content is different from a content of the received electronic message and relates to the message intents of the received message. The electronic communication system may be configured to provide the image based noisy to the recipient instead of the received electronic message or provide the received electronic message to the recipient in addition to the image based noisy.

Classes IPC  ?

  • H04L 12/00 - Réseaux de données à commutation

72.

METHOD FOR ELECTRONIC MESSAGING

      
Numéro d'application CN2022079755
Numéro de publication 2022/206311
Statut Délivré - en vigueur
Date de dépôt 2022-03-08
Date de publication 2022-10-06
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Hansmann, Uwe Karl
  • Stober, Thomas
  • Kussmaul, Timo
  • Ekambaram, Vijay
  • Mondal, Sneha
  • Marvaniya, Smitkumar Narotambhai

Abrégé

A method comprising receiving an electronic message is disclosed. Message intents of the received electronic message and one or more related intents may be determined. An electronic message may be generated according to a selected subset of the message intents or according to the related intents. The generated electronic message may be provided.

Classes IPC  ?

73.

PERSONALIZED ALERT GENERATION BASED ON INFORMATION DISSEMINATION

      
Numéro d'application CN2022083697
Numéro de publication 2022/206760
Statut Délivré - en vigueur
Date de dépôt 2022-03-29
Date de publication 2022-10-06
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Vasconcelos, Marisa Affonso
  • Qiao, Mu
  • Linck, Nicholas
  • Ong, Yuya Jeremy
  • Pinhanez, Claudio Santos
  • De Paula, Rogerio Abreu

Abrégé

A system may include a memory and a processor in communication with the memory. The processor may be configured to perform operations that include analyzing interactions by a user within a network and generating a user profile for the user. The operations by the processor may further include identifying an attempt by the user to share a post via the network and prompting the user with a personalized alert to evaluate the post, wherein the personalized alert is generated based on the interactions, the user profile, and the properties of the post.

Classes IPC  ?

  • 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

74.

QUANTUM SAFE KEY EXCHANGE SCHEME

      
Numéro d'application EP2022057718
Numéro de publication 2022/207436
Statut Délivré - en vigueur
Date de dépôt 2022-03-23
Date de publication 2022-10-06
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM DEUTSCHLAND GMBH (Allemagne)
Inventeur(s)
  • Kisley, Richard
  • Miele, Michael
  • Dames, Elizabeth
  • Dragone, Silvio

Abrégé

Aspects of the invention include a computer-implemented method of executing a hybrid quantum safe key exchange system. The computer-implemented method includes initially retrieving an authenticated random value from a trusted source, generating a first Z value using a first elliptic curve (EC) private key and a first certified form of an EC public key with an EC Diffie-Hellman (ECDH) algorithm, deriving a shared key using the authenticated random value and the first Z value with a key derivation function, decrypting the authenticated random value using a quantum safe algorithm (QSA) private key, generating a second Z value using a second EC private key and a second certified form of the EC public key with the ECDH algorithm and deriving the shared key using the authenticated random value and the second Z value with the key derivation function.

Classes IPC  ?

  • H04L 9/40 - Protocoles réseaux de sécurité
  • G06N 10/20 - Modèles d’informatique quantique, p.ex. circuits quantiques ou ordinateurs quantiques universels
  • H04L 9/08 - Répartition de clés
  • 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

75.

COMPUTER CONTROLLED POSITIONING OF DELICATE OBJECTS WITH LOW-CONTACT FORCE INTERACTION USING A ROBOT

      
Numéro d'application EP2022057800
Numéro de publication 2022/207458
Statut Délivré - en vigueur
Date de dépôt 2022-03-24
Date de publication 2022-10-06
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM UNITED KINGDOM LIMITED (Royaume‑Uni)
Inventeur(s)
  • Karri, Venkata Vara Prasad
  • Rakshit, Sarbajit

Abrégé

A computer positions an object using a computer-controlled positioning device. The computer is operatively associated with the positioning device via a control interface. The positioning device has a substantially-hollow interior chamber. The computer identifies a selected object located at a primary location within the interior chamber and having a primary orientation with respect thereto. The computer identifies a first array of elements constructed and arranged to generate contact-free support forces sufficient to maintain the selected object at the primary location. The computer identifies a second array of elements constructed and arranged to provide contact-free interaction forces sufficient to move the selected object within the interior chamber. The computer interacts with the selected object, using the control interface to adjust at least one of either the supporting forces and the interaction forces, to place the selected object into at least one of a secondary location or a secondary orientation.

Classes IPC  ?

  • B25J 9/16 - Commandes à programme
  • B25J 15/06 - Têtes de préhension avec moyens de retenue magnétiques ou fonctionnant par succion

76.

VIDEO DATA AUGMENTATION

      
Numéro d'application EP2022058233
Numéro de publication 2022/207623
Statut Délivré - en vigueur
Date de dépôt 2022-03-29
Date de publication 2022-10-06
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM UNITED KINGDOM LIMITED (Royaume‑Uni)
Inventeur(s)
  • Kawasaki, Hiroki
  • Nagai, Shingo

Abrégé

Disclosed are techniques for augmenting video datasets for training machine learning algorithms with additional video datasets that are cropped copies of the video datasets. Frames of a received video dataset are divided into a plurality of subframes. For each subframe, a count is tallied corresponding to the cumulative number of pixels changed across the frames of the received video. Counts are compared to determine which subframe includes the most changed pixels across the frames of the video dataset, which is selected as a cropping candidate. The cropping candidate is used to generate copies of the video dataset that are cropped to include at least the cropping candidate and exclude at least some of the remaining portions of each frame of the video dataset that are outside of the cropping candidate. In some embodiments, boundaries of cropping candidates are transformed to generate a plurality of cropped variations of the video dataset.

Classes IPC  ?

  • G06V 10/774 - Génération d'ensembles de motifs de formation; méthodes de Bootstrap, p.ex. "bagging” ou “boosting”
  • G06T 11/00 - Génération d'images bidimensionnelles [2D]

77.

PHASE CHANGE MEMORY CELL WITH RESISTIVE LINER

      
Numéro d'application EP2022058248
Numéro de publication 2022/207630
Statut Délivré - en vigueur
Date de dépôt 2022-03-29
Date de publication 2022-10-06
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM UNITED KINGDOM LIMITED (Royaume‑Uni)
Inventeur(s)
  • Cheng, Kangguo
  • Liu, Zuoguang
  • Li, Juntao
  • Xie, Ruilong

Abrégé

A phase change memory (PCM) cell is disclosed which includes a first electrode (102), a heater (104) electrically connected to the first electrode, a PCM material (112) electrically connected to the heater, a second electrode (114) electrically connected to the PCM material, and a resistive liner (108) in direct contact with and electrically connected to a sidewall of the heater and to the PCM material. The resistive liner may have an L-shaped cross-section with a first leg extending along the sidewall of the heater and a second leg extending outward from the heater.

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

78.

POST-QUANTUM CRYPTOGRAPHY SECURED EXECUTION ENVIRONMENTS FOR EDGE DEVICES

      
Numéro d'application CN2022075978
Numéro de publication 2022/206183
Statut Délivré - en vigueur
Date de dépôt 2022-02-11
Date de publication 2022-10-06
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Linton, Jeb R.
  • Matzek, Samuel
  • Ghaeedan, Siyamack
  • Murphy, Kris Marie
  • Mcneely, Jeff

Abrégé

Disclosed are techniques for post-quantum encrypted trusted execution environments on edge devices. An edge computing device includes a trusted execution environment that encompasses at least some SIMD processing units such as Graphics Processing Units (GPUs). A data record, such as machine learning inferences from a machine learning or artificial intelligence model, is generated on the edge computing device within the trusted execution environment and encrypted with post-quantum encryption (such as lattice based encryption) using SIMD processing units in the trusted execution environment. Workloads received for the trusted execution environment, also encrypted with post-quantum encryption, are decrypted using the SIMD processing units in the trusted execution environment.

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
  • H04L 9/08 - Répartition de clés

79.

GRAPHICAL ADJUSTMENT RECOMMENDATIONS FOR VOCALIZATION

      
Numéro d'application CN2022075990
Numéro de publication 2022/206184
Statut Délivré - en vigueur
Date de dépôt 2022-02-11
Date de publication 2022-10-06
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Hewitt, Trudy L.
  • Compton, Christian
  • Tomlinson, Merrilee Freeburg
  • Wetli, Christina Lynn
  • Fox, Jeremy R.

Abrégé

Audio of a user speaking is gathered while spatial data of the face of the user is gathered. Positions of elements of the face of are identified, wherein relative positions of the elements cause a plurality of qualities of the user voice. A subset of positions of the elements are identified to have caused a detected first quality of the user voice during the period of time. Alternate positions of the one or more elements are identified that are determined to cause the user voice to have a second quality rather than the first quality. A graphical representation of the face that depicts one or more adjustments from the subset of the positions to the alternate positions is provided to the user.

Classes IPC  ?

  • G06F 3/00 - Dispositions d'entrée pour le transfert de données à traiter pour leur donner une forme utilisable par le calculateur; Dispositions de sortie pour le transfert de données de l'unité de traitement à l'unité de sortie, p.ex. dispositions d'interface

80.

TRAINING AND SCORING FOR LARGE NUMBER OF PERFORMANCE MODELS

      
Numéro d'application CN2022076329
Numéro de publication 2022/206197
Statut Délivré - en vigueur
Date de dépôt 2022-02-15
Date de publication 2022-10-06
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Luo, Tong
  • Dai, Yi
  • Zhang, Guangming
  • Sun, Bingjiang
  • Cao, Shunxin
  • Chen, Yan
  • Zhuo, Ling

Abrégé

A method is presented to facilitate the training of a very large number of machine-learning performance models used to detect anomalies in computing operations. The models are grouped together according to model type, and are allocated to different pods of a computing environment that is used to carry out the operations being monitored. Initial training of models in a group is carried out while monitoring resource usage, and a particular pod is selected for further training based on the resource usage. The pod selected for training preferably has a minimum change in resource usage before and after the initial training. A different pod can be selected for scoring the trained models. The pod selected for scoring preferably has a maximum resource usage during an initial scoring among all pods.

Classes IPC  ?

81.

CONNECTION RESILIENT MULTI-FACTOR AUTHENTICATION

      
Numéro d'application CN2022076483
Numéro de publication 2022/206203
Statut Délivré - en vigueur
Date de dépôt 2022-02-16
Date de publication 2022-10-06
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Moore, David
  • Farrell, Leo Michael
  • Nye, Philip Alan John

Abrégé

A first authenticator payload is obtained that includes a first authenticator random value. A first authenticator encrypted file is generated with an authenticator public key that is related to a client authenticator application. The first authenticator encrypted file is generated based on a first cryptographic algorithm. The first authenticator encrypted file includes the first authenticator payload. A first target payload is obtained that includes a first target random value. A first target encrypted file is generated with the first authenticator random value. The first target encrypted file is generated based on a second cryptographic algorithm. The first target encrypted file includes the first target payload.

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

82.

REDUCED BANDWIDTH CONSUMPTION VIA GENERATIVE ADVERSARIAL NETWORKS

      
Numéro d'application CN2022078150
Numéro de publication 2022/206244
Statut Délivré - en vigueur
Date de dépôt 2022-02-28
Date de publication 2022-10-06
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Sivaswamy, Hemant Kumar
  • Vyas, Anvita
  • Ekambaram, Vijay
  • Rakshit, Sarbajit K.

Abrégé

A computer-implemented method comprises determining a desired resolution quality of a media file; determining available resources of a computing device; selecting one of a plurality of Generative Adversarial Network (GAN) plugins based on the determined available resources of the computing device; and estimating a second resolution quality of the media file corresponding to the selected GAN plugin. The second resolution quality is less than the desired resolution quality. The method further comprises communicating with a server to receive the media file at the estimated second resolution quality; converting the received media file from the second resolution quality to the desired resolution quality by using the selected GAN plugin; and outputting the converted media file with the desired resolution quality.

Classes IPC  ?

  • 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
  • H04L 67/61 - en tenant compte de la qualité de service [QoS] ou des exigences de priorité

83.

DYNAMIC INTERFACE INTERVENTION TO IMPROVE SENSOR PERFORMANCE

      
Numéro d'application CN2022083367
Numéro de publication 2022/206674
Statut Délivré - en vigueur
Date de dépôt 2022-03-28
Date de publication 2022-10-06
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Decrop, Clement
  • Silverstein, Zachary A.
  • Reynolds, Spencer Thomas
  • Jepperson, Jacob Ryan
  • Fox, Jeremy R.

Abrégé

A computer-implemented method comprises obtaining a physical location of a sensor on a device; determining that quality of data captured by the sensor physically located on the device is degraded based on a comparison of the captured data to a quality threshold; and, in response to determining that the quality of the data captured by the sensor is degraded, displaying a visual indicator on a display of the device. The visual indicator includes at least one non-textual component that directs a user to the physical location of the sensor on the device.

Classes IPC  ?

  • G06F 3/01 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur

84.

NVM-BASED HIGH-CAPACITY NEURAL NETWORK INFERENCE ENGINE

      
Numéro d'application CN2022084030
Numéro de publication 2022/206828
Statut Délivré - en vigueur
Date de dépôt 2022-03-30
Date de publication 2022-10-06
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Kumar, Arvind
  • Kim, Kyu-Hyoun
  • Divakaruni, Ramachandra
  • Burns, Jeffrey Lyn

Abrégé

A system, method, and computer program product for a neural network inference engine is disclosed. The inference engine system may include a first memory and a processor in communication with the first memory. The processor may be configured to perform operations. The operations the processor is configured to perform may include fetching a first task with said first memory and delivering the first task to the processor for processing the first task. The operations may further include prefetching a second task with the first memory while the processor is processing the first task. The operations may further include the first memory delivering the second task to the processor upon completion of processing the first task. The operations may further include the processor processing the second task.

Classes IPC  ?

  • G06F 3/06 - Entrée numérique à partir de, ou sortie numérique vers des supports d'enregistrement
  • H01L 25/00 - Ensembles consistant en une pluralité de dispositifs à semi-conducteurs ou d'autres dispositifs à l'état solide
  • G11C 5/02 - Disposition d'éléments d'emmagasinage, p.ex. sous la forme d'une matrice

85.

DYNAMIC SAMPLING OF STREAMING DATA USING FINITE MEMORY

      
Numéro d'application CN2022084756
Numéro de publication 2022/206943
Statut Délivré - en vigueur
Date de dépôt 2022-04-01
Date de publication 2022-10-06
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s) Cecil, Roy Robert

Abrégé

Method and system are provided for dynamic sampling of streaming data using finite memory. The method includes configuring a number of data points required in a sample of incoming streaming data and providing memory slots in a memory reservoir for the number of data points, with the memory slots each configured to store a position index and signal data pair for a data point, and each memory slot having a filtering thread configured to determine whether an index and signal data pair of the incoming streaming data should be stored in the memory slot. The filtering threads are configured to dynamically repopulate the memory slots for the number of data points with index and signal data pairs at increasing arrival intervals in the stream of streaming data as the incoming streaming data arrives.

Classes IPC  ?

  • G06F 17/40 - Acquisition et consignation de données

86.

UNSUPERVISED VIDEO REPRESENTATION LEARNING

      
Numéro d'application EP2022056402
Numéro de publication 2022/207280
Statut Délivré - en vigueur
Date de dépôt 2022-03-11
Date de publication 2022-10-06
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM UNITED KINGDOM LIMITED (Royaume‑Uni)
Inventeur(s)
  • Gan, Chuang
  • Wang, Dakuo
  • Jimeno Yepes, Antonio Jose
  • Wu, Bo

Abrégé

Unsupervised learning for video classification. One or more features from one or more video clips are extracted using a spatial-temporal encoder. The one or more extracted features are processed, using a video instance discrimination task, to generate a classification label, the classification label indicating whether two of the video clips are from a same video. The one or more extracted features are processed, using a pair-wise speed discrimination task, to generate a comparison label, the comparison label indicating a relative playback speed between two given video clips. A search is performed in a video database for a video that is similar to a given video based on the comparison label.

Classes IPC  ?

  • G06V 20/40 - dans le contenu vidéo (extraction de texte superposé G06V 20/62;récupération vidéo G06F 16/70;traitement des flux élémentaires vidéo dans les serveurs vidéo H04N 21/234;traitement des flux élémentaires vidéo dans les clients vidéo H04N 21/44)
  • G06V 10/82 - utilisant les réseaux neuronaux

87.

REVERSIBLE RESISTIVE MEMORY LOGIC GATE DEVICE

      
Numéro d'application EP2022056567
Numéro de publication 2022/207298
Statut Délivré - en vigueur
Date de dépôt 2022-03-14
Date de publication 2022-10-06
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM UNITED KINGDOM LIMITED (Royaume‑Uni)
Inventeur(s)
  • Chen, Hsueh-Chung
  • Wang, Junli
  • Fan, Su Chen

Abrégé

A memory device includes two phase change memory (PCM) cells and a bridge. The first PCM cell includes an electrical input and a phase change material. The second PCM cell includes an electrical input that is independent from the electrical input of the first PCM cell and another phase change material. The bridge is electrically connected to the two PCM cells.

Classes IPC  ?

  • 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
  • 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
  • H03K 19/00 - Circuits logiques, c. à d. ayant au moins deux entrées agissant sur une sortie; Circuits d'inversion

88.

NONVOLATILE TUNABLE CAPACITIVE PROCESSING UNIT

      
Numéro d'application EP2022056663
Numéro de publication 2022/207304
Statut Délivré - en vigueur
Date de dépôt 2022-03-15
Date de publication 2022-10-06
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM UNITED KINGDOM LIMITED (Royaume‑Uni)
Inventeur(s)
  • Cohen, Guy
  • Ando, Takashi
  • Gong, Nanbo
  • Li, Yulong

Abrégé

In an approach for forming a nonvolatile tunable capacitor device, a first electrode layer is formed distally opposed from a second electrode layer, the first electrode layer configured to make a first electrical connection and the second electrode layer configured to make a second electrical connection. A dielectric layer is posited between the first electrode layer and adjacent to the second electrode layer. A phase change material (PCM) layer is posited between the first electrode layer and the second electrode layer adjacent to the dielectric layer. An energizing component is provided to heat the PCM layer to change a phase of the PCM layer. The energizing component may include a heating element or electrical probe in direct contact with the PCM layer, that when energized is configured to apply heat to the PCM layer. The phase of the PCM layer is changeable between an amorphous phase and a crystalline phase.

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
  • H01G 7/04 - Condensateurs dont la capacité varie par des moyens non mécaniques; Procédés pour leur fabrication à diélectrique choisi pour sa variation de permittivité en fonction de la température appliquée

89.

TRUSTED FIELD PROGRAMMABLE GATE ARRAY

      
Numéro d'application EP2022056885
Numéro de publication 2022/207328
Statut Délivré - en vigueur
Date de dépôt 2022-03-16
Date de publication 2022-10-06
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM UNITED KINGDOM LIMITED (Royaume‑Uni)
Inventeur(s)
  • Plouchart, Jean-Oliver
  • Kumar, Arvind
  • Pfeiffer, Dirk
  • Ando, Takashi

Abrégé

An approach to creating a tamper-resistant field programmable gate array (FPGA) and remotely reprogramming the tamper-resistant FPGA. In one aspect, determining if an encryption key is stored in a physical unclonable function (PUF) of the FPGA. Further, responsive to the encryption key not being stored in a PUF, writing an encryption key in tamper resistant memory associated with a back end of the line (BEOL) of the FPGA. In another aspect, writing a program key and a look-up table (LUT) in the tamper resistant memory.

Classes IPC  ?

  • G06F 21/76 - Protection de composants spécifiques internes ou périphériques, où la protection d'un composant mène à la protection de tout le calculateur pour assurer la sécurité du calcul ou du traitement de l’information dans les circuits intégrés à application spécifique [ASICs] ou les dispositifs programmables, p.ex. les réseaux de portes programmables [FPGAs] ou les circuits logiques programmables [PLDs]

90.

NANOSHEET TRANSISTOR WITH BODY CONTACT

      
Numéro d'application EP2022058312
Numéro de publication 2022/207660
Statut Délivré - en vigueur
Date de dépôt 2022-03-29
Date de publication 2022-10-06
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM UNITED KINGDOM LIMITED (Royaume‑Uni)
Inventeur(s)
  • Reznicek, Alexander
  • Xie, Ruilong
  • Hekmatsshoatabari, Bahman
  • Ning, Tak

Abrégé

Semiconductor channel layers vertically aligned and stacked, separated by a work function metal and a gate dielectric partially surrounding and physically separating the work function metal from each, a first portion of the work function metal directly contacts a vertical sidewall of each layer. A first set and a second set of semiconductor channel layers vertically aligned and stacked, separated by a work function metal, a gate dielectric partially surrounding and physically separating the work function metal from each, a first portion of the work function metal between the first set and the second set directly contacts a sidewall of each layer. Forming an initial stack of alternating layers of a sacrificial and a semiconductor channel vertically aligned and stacked, forming a vertical opening creating a first stack of nanosheet layers and a second stack of nanosheet layers, and exposing vertical side surfaces of the alternating layers of both stacks.

Classes IPC  ?

  • H01L 29/775 - Transistors à effet de champ avec un canal à gaz de porteurs de charge à une dimension, p.ex. FET à fil quantique
  • H01L 21/336 - Transistors à effet de champ à grille isolée
  • H01L 29/06 - Corps semi-conducteurs caractérisés par les formes, les dimensions relatives, ou les dispositions des régions semi-conductrices
  • H01L 29/423 - Electrodes caractérisées par leur forme, leurs dimensions relatives ou leur disposition relative ne transportant pas le courant à redresser, à amplifier ou à commuter
  • H01L 21/8234 - Technologie MIS
  • H01L 21/8238 - Transistors à effet de champ complémentaires, p.ex. CMOS
  • B82Y 10/00 - Nanotechnologie pour le traitement, le stockage ou la transmission d’informations, p.ex. calcul quantique ou logique à un électron

91.

MULTI-USER INTERACTIVE AD SHOPPING USING WEARABLE DEVICE GESTURES

      
Numéro d'application CN2022075618
Numéro de publication 2022/199264
Statut Délivré - en vigueur
Date de dépôt 2022-02-09
Date de publication 2022-09-29
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Compton, Christian
  • Hanlon, Trisha Elaine
  • Bender, Michael
  • Fox, Jeremy R.
  • Rakshit, Sarbajit K.

Abrégé

In an approach for enabling multiple users to make e-commerce purchases from interactive advertisements using wearable device gestures, a processor identifies a wearable device attempting to pair with a smart display. A processor verifies a user wearing the wearable device is an authenticated user. A processor detects a gesture made by the user based on a sensor of the wearable device. A processor identifies an action the gesture is mapped to. A processor determines whether the user is authorized to complete the action mapped to the gesture detected. Responsive to determining that the user is authorized to complete the action mapped to the gesture, a processor completes the action the gesture is mapped to.

Classes IPC  ?

  • G06F 3/01 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur

92.

SUPERIMPOSING HIGH-FREQUENCY COPIES OF EMITTED SOUNDS

      
Numéro d'application CN2022077921
Numéro de publication 2022/199320
Statut Délivré - en vigueur
Date de dépôt 2022-02-25
Date de publication 2022-09-29
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Hawker, Samuel B.
  • Naylor-Teece, Alexander John
  • Patel, Bhavnit
  • Jansen, Grace

Abrégé

An audio emitter configured to emit a sound creates a high-frequency copy of the sound to be emitted. The high-frequency copy of the sound is superimposed over the sound, resulting in a composite signal. The composite signal is emitted by the emitter. The high-frequency copy is at a frequency inaudible to humans, enabling a receiver to identify the emitter and/or the sound.

Classes IPC  ?

  • H04B 15/00 - Suppression ou limitation du bruit ou des interférences
  • H04B 11/00 - Systèmes de transmission utilisant des ondes ultrasonores, sonores ou infrasonores
  • H04N 21/462 - Gestion de contenu ou de données additionnelles, p.ex. création d'un guide de programmes électronique maître à partir de données reçues par Internet et d'une tête de réseau ou contrôle de la complexité d'un flux vidéo en dimensionnant la résolution o

93.

SELECTIVE PRUNING OF SYSTEM CONFIGURATION MODEL FOR SYSTEM RECONFIGURATIONS

      
Numéro d'application CN2022083054
Numéro de publication 2022/199693
Statut Délivré - en vigueur
Date de dépôt 2022-03-25
Date de publication 2022-09-29
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Noorshams, Qais
  • Boewing, Norman Christopher
  • Spinner, Simon
  • Stapels, Jason Matthew

Abrégé

A method, computer program product, and computer system for reconfiguration of a computing environment from an as-is input/output (I/O) configuration to a to-be I/O configuration is disclosed. The method may include normalizing respective hierarchical models of the as-is and the to-be I/O configurations. The hierarchical models each comprise a hierarchical structure of leaf and non-leaf nodes. Normalizing comprises the application of syntactical transformation rules to the hierarchical models such that their respective I/O configurations are defined in a syntactically consistent manner. The method may include creating respective hash tree representations of the first hierarchical model and the second hierarchical model. Nodes of the hash tree representations are checksum values. Nodes of the hash tree representations reflect the hierarchical structure of their respective hierarchical models. The method may include pruning one or more nodes of the hash tree representations.

Classes IPC  ?

  • G06F 13/00 - Interconnexion ou transfert d'information ou d'autres signaux entre mémoires, dispositifs d'entrée/sortie ou unités de traitement

94.

ELECTROSTATIC PROTECTION DEVICE

      
Numéro d'application IB2022051103
Numéro de publication 2022/200872
Statut Délivré - en vigueur
Date de dépôt 2022-02-08
Date de publication 2022-09-29
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM ISRAEL SCIENCE AND TECHNOLOGY LTD. (Israël)
  • IBM (CHINA) INVESTMENT COMPANY LTD. (Chine)
Inventeur(s)
  • Morf, Thomas
  • Francese, Pier Andrea

Abrégé

An electrostatic protection device for protecting an input port of an electronic circuit. The electrostatic protection device includes a first stacked coil, a second stacked coil, and an input terminal, wherein the second stacked coil is inductively coupled to the first stacked coil. The first stacked coil comprises a first coil input connected to the input terminal, a first coil output port connected to a lower frequency ESD protection circuit, and a first coil termination port connected to a termination load, and wherein the lower frequency ESD protection circuit comprises a lower frequency output. The second stacked coil comprises an output port connected to a higher frequency ESD protection circuit, and wherein the higher frequency ESD protection circuit comprises a higher frequency output. The electrostatic protection device comprises a summation circuit configured for outputting a summation of the higher frequency output and the lower frequency output.

Classes IPC  ?

  • H03L 5/00 - Commande automatique de la tension, du courant ou de la puissance

95.

RUNNING SMALLER MEMORY-ADDRESS WIDTH PROGRAM CODE IN LARGER MEMORY-ADDRESS WIDTH ADDRESS SPACE

      
Numéro d'application IB2022052001
Numéro de publication 2022/200894
Statut Délivré - en vigueur
Date de dépôt 2022-03-07
Date de publication 2022-09-29
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM UNITED KINGDOM LIMITED (Royaume‑Uni)
  • IBM (CHINA) INVESTMENT COMPANY LIMITED (Chine)
Inventeur(s)
  • Hobson, Stephen, James
  • Moxey, Catherine, Mary
  • Jacobi, Christian
  • Tzortzatos, Elpida

Abrégé

Method and system are provided for running a smaller memory-address width program in a larger memory-address width address space. The method includes: dividing a smaller memory-address width program executable code into a set of portions; reserving a first virtual storage area in a part of an address space accessed using a smaller memory-address width address, and reserving a set of second virtual storage areas in a part of the address space accessed using a larger memory-address width address to accommodate the program executable code. The method provides a relocation mechanism to relocate a processor thread by translating using a relocation factor from an address in the reserved first virtual storage area to the one of the reserved second virtual storage areas containing the executable code.

Classes IPC  ?

96.

MULTICOMPONENT MODULE DESIGN AND FABRICATION

      
Numéro d'application CN2022075707
Numéro de publication 2022/199266
Statut Délivré - en vigueur
Date de dépôt 2022-02-09
Date de publication 2022-09-29
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Peterson, Kirk D.
  • Ostrander, Steven Paul
  • Allard, Stephanie E
  • Reynolds, Charles L.
  • Chun, Sungjun
  • Dreps, Daniel M.
  • Quinlan, Brian W.
  • Pharand, Sylvain
  • Casey, Jon Alfred
  • Turnbull, David Edward
  • Gagnon, Pascale
  • Labonte, Jean
  • Bachand, Jean-Francois
  • Blanchard, Denis

Abrégé

Multicomponent module assembly by identifying a failed site on a laminate comprising a plurality of sites, adding a machine discernible mark associated with the failed site, placing an electrically good element at a successful site; and providing an MCM comprising the laminate, and the electrically good element.

Classes IPC  ?

  • G01D 21/00 - Mesures ou tests non prévus ailleurs

97.

DEFENDING AGAINST ADVERSARIAL QUERIES IN A DATA GOVERNANCE SYSTEM

      
Numéro d'application CN2022076192
Numéro de publication 2022/199274
Statut Délivré - en vigueur
Date de dépôt 2022-02-14
Date de publication 2022-09-29
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Payne, Joshua F.
  • Kundu, Ashish
  • Natarajan, Arjun
  • Raphael, Roger C.
  • Schumacher, Scott

Abrégé

An apparatus and related method defend against adversarial queries. A policy enforcement hypergraph is constructed to express a set of security policies. Then, the hypergraph is repeatedly traversed to determine whether a user behavior is changing over time. The user behavior is measured by reference to a vertex or an edge in the hypergraph. If it is determined that the user behavior has changed over time an enforcement action is taken based on a security policy.

Classes IPC  ?

  • G06F 16/20 - Recherche d’informations; Structures de bases de données à cet effet; Structures de systèmes de fichiers à cet effet de données structurées, p.ex. de données relationnelles

98.

RUN-TIME COMMUNICATIONS PROTOCOL PARAMETER ADJUSTMENT IN CONTAINERIZED APPLICATIONS

      
Numéro d'application CN2022078149
Numéro de publication 2022/199324
Statut Délivré - en vigueur
Date de dépôt 2022-02-28
Date de publication 2022-09-29
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Sivaswamy, Magesh Kumar
  • Khanna, Rashmi
  • Nambiar, Manesh Chandran

Abrégé

At a sidecar portion sharing a container with a first application portion, metadata describing a modification to a communications protocol is received. At the sidecar portion, a communication of the first application portion to a second application outside the container is received. The modifying is performed according to the metadata. The modified communication is transmitted to the second application.

Classes IPC  ?

  • G06F 8/65 - Mises à jour
  • 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

99.

ROBOTIC GEOMETRIC CAMERA CALIBRATION AND MONITORING ALERT CONFIGURATION AND TESTING

      
Numéro d'application CN2022078151
Numéro de publication 2022/199325
Statut Délivré - en vigueur
Date de dépôt 2022-02-28
Date de publication 2022-09-29
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Pinel, Florian
  • Bobbitt, Russell Patrick
  • Yeh Jr., Frank
  • Cham, Sharon Laquinta

Abrégé

A method of calibrating a system including a camera (902), the method including detecting a robot (909) navigating within an environment modeled as a geo-polygon space, including a transit of the robot (909) through a scene of the environment captured by the camera (902), mapping a plurality of points occupied by the robot (909) in images of the scene to the geo-polygon space, recording data about the mapping, and configuring at least one alert using the data recorded about the mapping, the alert executed by the computing system (901) and configured to be triggered by an object transiting the scene.

Classes IPC  ?

  • G01C 21/34 - Recherche d'itinéraire; Guidage en matière d'itinéraire

100.

SAFEGUARDING AUDIO DEVICE BASED ON DETECTION OF FREEFALL OR LOST SCENARIOS

      
Numéro d'application CN2022081720
Numéro de publication 2022/199488
Statut Délivré - en vigueur
Date de dépôt 2022-03-18
Date de publication 2022-09-29
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Nagar, Raghuveer Prasad
  • Rakshit, Sarbajit K.
  • Sodhi, Manjit Singh
  • Goyal, Manoj Kumar

Abrégé

Aspects of the present invention disclose a method for safeguarding an audio device by enabling the audio device to perform harm prevention and retrieval related task based on detecting a set of conditions within an operating environment of the audio device. The method includes one or more processors determining a freefall event of an audio device is occurring. The method further includes one or more processors determining an operating environment type of a surface the audio device contacts after the freefall event ends, wherein the operating environment type of the surface indicates liquid is present. The method further includes responsive to the indication that water is present one or more processors taking a liquid mitigation action.

Classes IPC  ?

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