Alibaba Group Holding Limited

Îles Caïmanes

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2022 116
2021 323
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2019 1 026
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Classe IPC
G06F 17/30 - Recherche documentaire; Structures de bases de données à cet effet 607
H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole 327
H04L 29/08 - Procédure de commande de la transmission, p.ex. procédure de commande du niveau de la liaison 277
G06Q 30/02 - Marketing; Estimation ou détermination des prix; Collecte de fonds 153
G06Q 30/06 - Transactions d’achat, de vente ou de crédit-bail 143
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1.

DYNAMICALLY DECOUPLED DRIVEN CONTROLLED-Z GATE

      
Numéro d'application US2021027092
Numéro de publication 2022/220803
Statut Délivré - en vigueur
Date de dépôt 2021-04-13
Date de publication 2022-10-20
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Ding, Dawei
  • Wu, Feng
  • Zhao, Huihai

Abrégé

Systems and methods are provided for performing a dynamic decoupled controlled-Z gate operation. A superconducting circuit of an exemplary system can include a first qubit and a second qubit transversely coupled to the first qubit, lire system can apply an external magnetic flux to the second qubit to bring a frequency of the second qubit into resonance with a frequency of the first qubit. The system can apply a continuous alternating drive with continuous phase to the second qubit, a duration and a magnitude of the continuous alternating drive configured to synchronize agate time of the dynamic decoupled controlled-Z gate operation to an integer number of Rabi oscillation periods. The system can read out a state of the quantum computing system, after providing the continuous alternating drive.

Classes IPC  ?

  • G06N 10/00 - Informatique quantique, c. à d. traitement de l’information fondé sur des phénomènes de mécanique quantique
  • G06F 17/10 - Opérations mathématiques complexes
  • H03K 19/20 - Circuits logiques, c. à d. ayant au moins deux entrées agissant sur une sortie; Circuits d'inversion caractérisés par la fonction logique, p.ex. circuits ET, OU, NI, NON

2.

NETWORK DEVICE MANAGEMENT SYSTEM, METHOD, AND APPARATUS, DEVICE, AND STORAGE MEDIUM

      
Numéro d'application CN2022077209
Numéro de publication 2022/179484
Statut Délivré - en vigueur
Date de dépôt 2022-02-22
Date de publication 2022-09-01
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Wang, Chao
  • Mei, Yun
  • Shi, Lei

Abrégé

Embodiments of the present invention provide a network device management system, method, and apparatus, a device, and a storage medium. The system comprises: a configuration device, and a first device and a second device between which a connection is to be established. The connection establishment process may comprise that: a first device sends to a configuration device a first connection request comprising its own attribute information. In response to the connection request, the configuration device determines a second device and attribute information thereof from devices registered on the configuration device, and sends the attribute information of the second device to the first device. The first device can use, according to the attribute information of the second device, the attribute information of the second device as configuration information for establishment of a communication connection, thereby finally establishing the communication connection between the first device and the second device. In the process, the attribute information of the device used when the first device establishes the communication connection is automatically fed back by the configuration device; and no manual process exists in the entire connection establishment process, thereby ensuring the efficiency of the establishment of the communication connection.

Classes IPC  ?

  • H04W 76/10 - Gestion de la connexion Établissement de la connexion
  • H04L 41/0806 - Réglages de configuration pour la configuration initiale ou l’approvisionnement, p.ex. prêt à l’emploi [plug-and-play]

3.

ZERO SKIPPING SPARSITY TECHNIQUES FOR REDUCING DATA MOVEMENT

      
Numéro d'application CN2021077990
Numéro de publication 2022/178791
Statut Délivré - en vigueur
Date de dépôt 2021-02-25
Date de publication 2022-09-01
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Xue, Fei
  • Sun, Fei
  • Zhou, Yangjie
  • Duan, Lide
  • Zheng, Hongzhong

Abrégé

Zero skipping sparsity techniques for reduced data movement between memory and accelerators and reduced computational workload of accelerators. The techniques include detection of zero and near-zero values on the memory. The non-zero values are transferred to the accelerator for computation. The zero and near-zero values are written back within the memory as zero values.

Classes IPC  ?

  • G06F 9/30 - Dispositions pour exécuter des instructions machines, p.ex. décodage d'instructions
  • G06F 9/38 - Exécution simultanée d'instructions

4.

VIRTUALIZATION PROCESSING SYSTEM, METHOD AND APPARATUS, AND DEVICE

      
Numéro d'application CN2022076558
Numéro de publication 2022/179423
Statut Délivré - en vigueur
Date de dépôt 2022-02-17
Date de publication 2022-09-01
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Qiu, Xishi
  • Guan, Naixuan
  • Li, Yu

Abrégé

Disclosed in the present application are a virtualization processing system, method and apparatus, and an electronic device. The system comprises: a virtualization infrastructure and a management and control virtual machine, wherein the virtualization infrastructure is deployed on a virtual machine management and control board side and is used for constructing a virtualization system, so as to manage a user virtual machine; and the management and control virtual machine is deployed on a host machine side and is used for managing and controlling the user virtual machine by using host machine resources. The system uses a management and control manner based on a virtual node, such that management and control are encapsulated inside a management and control virtual machine, which can be deployed on a host machine side and can also be deployed on a management and control board side. In this way, when resources of a management and control board are insufficient due to user access to the virtual machine surging, one or more virtual management and control nodes can be dynamically started on the host machine side, and the node can share some management and control tasks of the management and control board, and perform virtual machine management and control by using host machine resources. Therefore, the dynamic scalability of management and control resources can be continuously ensured.

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

5.

DATA PROCESSING METHOD AND APPARATUS

      
Numéro d'application CN2022076559
Numéro de publication 2022/179424
Statut Délivré - en vigueur
Date de dépôt 2022-02-17
Date de publication 2022-09-01
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Cheng, Wenhua
  • Lyu, Niqi
  • You, Liang
  • Long, Xin

Abrégé

A data processing method and apparatus. The data processing method comprises: processing input data on the basis of a data processing network to obtain intermediate data; obtaining a fixed attention feature output from an attention network, the fixed attention feature being obtained after a model is trained by using at least an initialized attention feature, and attention weights comprised in the initialized attention feature being not completely the same; and processing the intermediate data according to the fixed attention feature on the basis of a data aggregation network in the model to obtain output data. A fixed attention network does not receive any input previously, that is, the attention feature output from the attention network is irrelevant to the input data. The fixed attention feature can not only allow a more important parameter in the model to play a greater role to improve the accuracy of the model and determine the importance of the parameter, but also be conducive to further compress the model and also avoid the problem of the same input feature brought by some normalization layers to a traditional attention network.

Classes IPC  ?

  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
  • G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
  • G06N 3/04 - Architecture, p.ex. topologie d'interconnexion
  • G06N 3/08 - Méthodes d'apprentissage

6.

MULTI-CORE PROCESSOR TASK SCHEDULING METHOD AND APPARATUS, AND DEVICE AND STORAGE MEDIUM

      
Numéro d'application CN2022077211
Numéro de publication 2022/179486
Statut Délivré - en vigueur
Date de dépôt 2022-02-22
Date de publication 2022-09-01
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s) Gu, Liangzeng

Abrégé

Disclosed are a multi-core processor task scheduling method and apparatus, and a device and a storage medium. The method comprises: acquiring a target task to be executed; selecting a target processor from a multi-core processor on the basis of attribute information of the target task, wherein the attribute information comprises binding relationship information and priority information, the binding relationship information is used for describing whether the target task needs to be run on processors having a binding relationship, and the priority information is used for describing the priority of the target task; scheduling the target task to the target processor; and running the target task on the target processor. The present invention solves the technical problem of it not being possible for an existing multi-core scheduling algorithm to accurately determine a target processor for running a task to be executed.

Classes IPC  ?

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

7.

INFORMATION PROCESSING METHOD AND APPARATUS, AND COMPUTING DEVICE

      
Numéro d'application CN2022075958
Numéro de publication 2022/174755
Statut Délivré - en vigueur
Date de dépôt 2022-02-11
Date de publication 2022-08-25
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Zhang, Zhenliang
  • Yin, Wotao

Abrégé

Provided in the embodiments of the present application are an information processing method and apparatus, and a computing device. The method comprises: in response to a parameter optimization request for a parameter to be optimized, when global feature information of said parameter satisfies a preset local switching rule, determining local feature information of said parameter; collecting and obtaining a first candidate solution of said parameter according to the local feature information; and if the first candidate solution satisfies a parameter use condition, determining the first candidate solution to be a target solution of said parameter. By means of the embodiments of the present application, the effectiveness of parameter optimization is improved.

Classes IPC  ?

  • G06N 7/00 - Agencements informatiques fondés sur des modèles mathématiques spécifiques
  • G06N 20/00 - Apprentissage automatique

8.

APPLICATION MANAGEMENT METHOD AND APPARATUS

      
Numéro d'application CN2022076414
Numéro de publication 2022/174767
Statut Délivré - en vigueur
Date de dépôt 2022-02-16
Date de publication 2022-08-25
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Shi, Mingwei
  • Ding, Yu
  • Wang, Xiaorui
  • Zhou, Xinyu
  • Li, Zhanhui
  • Zhan, Zhouxiang

Abrégé

Disclosed are an improved application management method and apparatus. The method comprises: collecting objects in application instances for serverless computing, and generating a reference tree according to a reference hierarchical relationship between the objects; performing memory object rearrangement on a plurality of application instances according to the reference tree; and performing memory merging on the plurality of application instances subjected to rearrangement, so that similar application instances enter a low-power state. In the present invention, with regard to application instances, especially the rearrangement and merging of heap memory areas, maximum memory sharing can be realized among a plurality of similar running instances, thereby reducing the number of system resources occupied by instances in a standby state, and improving the average utilization rate of the resources. Thus, with the same system resources, more running instances can be started to be in a standby state, so as to cope with a scenario of rapid elastic capacity expansion.

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

9.

USING OBJECT PROPERTIES FOR FACILITATING OBJECT STORAGE

      
Numéro d'application CN2021076445
Numéro de publication 2022/170544
Statut Délivré - en vigueur
Date de dépôt 2021-02-10
Date de publication 2022-08-18
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Xu, Peng
  • Xu, Yikang
  • Wang, Rui
  • Du, Yu

Abrégé

A storage engine may obtain one or more object access properties of an object to be received, and determine a type of storage device that is suitable or desirable for storing the object from among different types of storage devices based at least in part on the one or more object access properties of the object to be received. In response to determining the type of storage device, the storage engine may allocate a storage device of such type for the object. The storage engine may then receive the object, and store the object into the allocated storage device.

Classes IPC  ?

  • G06F 7/00 - Procédés ou dispositions pour le traitement de données en agissant sur l'ordre ou le contenu des données maniées

10.

DATA LAYOUT OPTIMIZATION FOR OBJECT-ORIENTED STORAGE ENGINE

      
Numéro d'application CN2021075779
Numéro de publication 2022/165797
Statut Délivré - en vigueur
Date de dépôt 2021-02-07
Date de publication 2022-08-11
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Xu, Peng
  • Xu, Yikang
  • Du, Yu
  • Wang, Rui

Abrégé

A storage engine may be configured to receive data including a plurality of records from a client device, and generate a plurality of record headers for the plurality of records. The storage engine may then transfer a group of record headers of the plurality of record headers to a storage device to cause the storage device to store the group of record headers consecutively in a data sector of the storage device, and further transfer a subset of payload data of one or more records associated with the group of record headers to the storage device to cause the storage device to store the one or more records after the group of record headers in the data sector of the storage device.

Classes IPC  ?

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

11.

AUDIO SIGNAL PROCESSING METHOD, CONFERENCE RECORDING AND PRESENTATION METHOD, DEVICE, SYSTEM, AND MEDIUM

      
Numéro d'application CN2022073092
Numéro de publication 2022/161264
Statut Délivré - en vigueur
Date de dépôt 2022-01-21
Date de publication 2022-08-04
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Zheng, Siqi
  • Suo, Hongbin

Abrégé

An audio signal processing method, a conference recording and presentation method, a device, a system, and a medium. The audio signal processing method comprises: performing sound source positioning on an audio signal collected in a multi-person speaking scenario, so as to obtain a change point of a sound source position (101b); according to the change point of the sound source position, segmenting the audio signal into a plurality of audio segments, and extracting voiceprint features of the plurality of audio segments (102b); according to the duration, the voiceprint features and sound source positions of the plurality of audio segments, performing hierarchical clustering on the plurality of audio segments, so as to obtain audio segments corresponding to the same speaker (103b); and adding the same user tag to the audio segments corresponding to the same speaker, so as to obtain an audio signal to which the user tag is added (104b).

Classes IPC  ?

  • H04N 7/15 - Systèmes pour conférences
  • G10L 17/00 - Identification ou vérification du locuteur

12.

EDGE CLOUD SYSTEM, EDGE MANAGEMENT AND CONTROL METHOD, MANAGEMENT AND CONTROL NODE, AND STORAGE MEDIUM

      
Numéro d'application CN2022074248
Numéro de publication 2022/161430
Statut Délivré - en vigueur
Date de dépôt 2022-01-27
Date de publication 2022-08-04
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • He, Linbo
  • Guo, Fei

Abrégé

Provided in the embodiments of the present application are an edge cloud system, an edge management and control method, a management and control node, and a storage medium. In the embodiments of the present application, a cloud-edge fusion architecture is provided. For the cloud-edge fusion architecture, management and control over both a center and an edge can greatly improve the edge autonomy capability of the cloud-edge fusion architecture and greatly improve the service capability of an edge containerized application. Furthermore, after a center management and control node satisfies a management and control condition again, a containerized application in an edge cluster is managed and controlled again according to a management and control status of the center management and control node for the edge cluster before the center management and control node does not satisfy the management and control condition, instead of a management and control status of an edge management and control node for the edge cluster. In this way, the two management and control nodes are loosely coupled to each other and independently perform management and control, and the edge autonomy capability is more flexible.

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]
  • G06F 9/54 - Communication interprogramme

13.

OBJECT IDENTIFICATION CODE PROCESSING METHOD AND APPARATUS, OBJECT PUBLISHING METHOD AND APPARATUS, AND DEVICE AND MEDIUM

      
Numéro d'application CN2022072842
Numéro de publication 2022/161231
Statut Délivré - en vigueur
Date de dépôt 2022-01-20
Date de publication 2022-08-04
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Huang, Zhiwen
  • Huang, Yuchao

Abrégé

The embodiments of the present disclosure relate to an object identification code processing method and apparatus, an object publishing method and apparatus, and a device and a medium. In at least one embodiment of the present disclosure, by means of object information, of an original market, that is associated with an object identification code, the object identification code is aggregated with at least some identification codes in an identification code library of a target market, such that when objects are published, a plurality of aggregated objects can be published on the basis of one object identification code, thereby improving the object publishing efficiency; in addition, the object information, of the original market, that is associated with the object identification code is mapped into object information of the target market, and association relationships between the object identification code, aggregation information, and the object information, in the target market, of the object identification code are thus stored in the identification code library of the target market, such that when objects are published, the object information, in the target market, of the object identification code can be found by searching the identification code library of the target market, thereby ensuring successful object publishing.

Classes IPC  ?

  • G06Q 30/06 - Transactions d’achat, de vente ou de crédit-bail

14.

MEMORY PRIMING AND INITIALIZATION SYSTEMS AND METHODS

      
Numéro d'application CN2021072773
Numéro de publication 2022/155798
Statut Délivré - en vigueur
Date de dépôt 2021-01-19
Date de publication 2022-07-28
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Niu, Dimin
  • Li, Shuangchen
  • Guan, Tianchan
  • Zheng, Hongzhong

Abrégé

The systems and methods are configured to efficiently and effectively prime and initialize a memory. A memory controller (130) includes a normal data path (131) and a priming path (132). The normal data path (131) directs storage operations during a normal memory read/write operation after power startup of a memory chip. The priming path (132) includes a priming module (133), wherein the priming module (133) directs memory priming operations during a power startup of the memory chip, including forwarding a priming pattern for storage in an a write pattern mode register of a memory chip and selection of a memory address in the memory chip for initialization with the priming pattern. The priming pattern includes information corresponding to proper initial data values. The priming pattern can also include proper corresponding error correction code (ECC) values. The priming module (133) can include a priming pattern register that stores the priming pattern.

Classes IPC  ?

  • G11C 29/42 - Dispositifs de vérification de réponse utilisant des codes correcteurs d'erreurs [ECC] ou un contrôle de parité
  • G06F 9/445 - Chargement ou démarrage de programme

15.

NEURAL NETWORK BASED IN-LOOP FILTERING FOR VIDEO CODING

      
Numéro d'application CN2021072774
Numéro de publication 2022/155799
Statut Délivré - en vigueur
Date de dépôt 2021-01-19
Date de publication 2022-07-28
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Wang, Zhao
  • Ma, Changyue
  • Liao, Ru-Ling
  • Ye, Yan

Abrégé

The present disclosure provides methods for performing training and executing of a multi-density neural network in video processing. An exemplary method comprises: receiving a video stream comprising a plurality of pictures; processing the plurality of pictures using a first branch of a first block in the neural network, wherein the neural network is configured to reduce blocking artifacts in video compression of the video stream and the first branch comprises one or more residual blocks; and processing the plurality of pictures using a second branch of the first block in the neural network, wherein the second branch comprises a down-sampling processing, an up-sampling processing, and one or more residual blocks.

Classes IPC  ?

  • G06T 5/00 - Amélioration ou restauration d'image

16.

CORE-AWARE CACHING SYSTEMS AND METHODS FOR MULTICORE PROCESSORS

      
Numéro d'application CN2021072940
Numéro de publication 2022/155820
Statut Délivré - en vigueur
Date de dépôt 2021-01-20
Date de publication 2022-07-28
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Duan, Lide
  • Zhu, Guocai
  • Chen, Yen-Kuang
  • Zheng, Hongzhong

Abrégé

Core-aware caching systems and methods for non-inclusive non-exclusive shared caching based on core sharing behaviors of the data and/or instructions. The caching between a shared cache level and a core specific cache level can be based on physical page number (PPN) and core identifier sets for previous accesses to the respective physical page numbers. The caching between a shared cache level and a core specific cache level can also be based on physical page number and core valid bit vector sets for previous accesses to the respective physical page numbers by each of the plurality of cores.

Classes IPC  ?

  • G06F 12/128 - Commande de remplacement utilisant des algorithmes de remplacement adaptée aux systèmes de mémoires cache multidimensionnelles, p.ex. associatives d’ensemble, à plusieurs mémoires cache, multi-ensembles ou multi-niveaux

17.

QUALITY ESTIMATION FOR AUTOMATIC SPEECH RECOGNITION

      
Numéro d'application CN2021073073
Numéro de publication 2022/155842
Statut Délivré - en vigueur
Date de dépôt 2021-01-21
Date de publication 2022-07-28
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Fan, Kai
  • Li, Bo
  • Wang, Jiayi

Abrégé

A method, a system, and a computer-readable storage medium are provided for implementing quality estimation for automatic speech recognition, and more specifically training an ASR model, and training a QE model to perform word error rate prediction upon the trained ASR model. The ASR model may be a transformer learning model having an architecture including an encoder including multi-head attention layers, and a memory encoder including a masking multi-head attention layer. The QE model may include a binary classification model and a regression model, where the binary classification model is based on a discrete statistical distribution, and the regression model is based on a continuous statistical distribution. Training the ASR model may produce output having variable word error rates, and the QE model may be trained based on empirical word error rates of the ASR model. The QE model may predict performance of the ASR model without labor-intensive labeling to generate ground truth.

Classes IPC  ?

  • G10L 15/01 - Estimation ou évaluation des systèmes de reconnaissance de la parole
  • G10L 15/06 - Création de gabarits de référence; Entraînement des systèmes de reconnaissance de la parole, p.ex. adaptation aux caractéristiques de la voix du locuteur

18.

INFORMATION PROCESSING METHOD AND DEVICE, SERVER AND USER EQUIPMENT

      
Numéro d'application CN2022072913
Numéro de publication 2022/156731
Statut Délivré - en vigueur
Date de dépôt 2022-01-20
Date de publication 2022-07-28
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s) Zou, Chenjun

Abrégé

Embodiments of the present application provide an information processing method and device, a server and a user equipment. The method comprises: detecting a parameter optimization request initiated by a target user, and determining a parameter sampling algorithm matching the target user; in response to a sample acquisition request initiated by the target user, calling the parameter sampling algorithm to generate a test sample; determining a simulation result of the test sample on the basis of a preset target function; and outputting the simulation result of the test sample for the target user. The embodiments of the present disclosure improve the parameter optimization efficiency.

Classes IPC  ?

  • G06F 30/20 - Optimisation, vérification ou simulation de l’objet conçu

19.

END TO END CHECK CODE PROTECTION IN STORAGE ENGINE

      
Numéro d'application CN2021073415
Numéro de publication 2022/155928
Statut Délivré - en vigueur
Date de dépôt 2021-01-22
Date de publication 2022-07-28
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Xu, Yikang
  • Xu, Peng
  • Wang, Rui
  • Du, Yu

Abrégé

A client device may transmit a data stream including an object (such as a data file or record) to a storage system for storing the object in a storage device. In response to receiving the data stream, the storage system may store or write data of the object into a plurality of logical blocks of the storage device with an end-to-end data protection based at least in part on a comparison of a combination of check codes of a header of the object, the object and padding data with a combination of a plurality of check codes that are generated separately for metadata associated with the object and corresponding parts of the object stored in the plurality of logical blocks. The storage system may further provide an end-to-end data protection for reading data of an object stored in multiple logical blocks of a storage device.

Classes IPC  ?

  • G06F 11/10 - Détection ou correction d'erreur par introduction de redondance dans la représentation des données, p.ex. en utilisant des codes de contrôle en ajoutant des chiffres binaires ou des symboles particuliers aux données exprimées suivant un code, p.ex. contrôle de parité, exclusion des 9 ou des 11

20.

ROADSIDE TERMINAL, TRAFFIC LIGHT CONTROL METHOD, AND RELATED SYSTEM

      
Numéro d'application CN2022073084
Numéro de publication 2022/156756
Statut Délivré - en vigueur
Date de dépôt 2022-01-21
Date de publication 2022-07-28
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Mao, Jialei
  • Yu, Jinqiang
  • Wang, Bochen
  • Xiao, Nan
  • Yu, Liang

Abrégé

A roadside terminal, a traffic light control method, and a related system. The roadside terminal comprises a housing (10) and a circuit board (11) disposed inside the housing (10); the circuit board (11) is provided with a video interface (12), a processor (14), and a first communication interface (15); the video interface (12) is configured to receive the intersection video data captured by a roadside camera device; the processor (14) is configured to perform analysis according to the intersection video data to obtain traffic parameters of the intersection, generate, on the basis of the traffic parameters, a control instruction for controlling a traffic light at the intersection, and send the control instruction to a traffic light control device of the intersection by means of the first communication interface (15). Compared with an existing traffic light management and control system, the roadside terminal locally performs real-time processing on obtained data, so that the real-time response is improved, and the real-time control of a local traffic light can be realized.

Classes IPC  ?

21.

RESPONSIVE LOCALIZATION OF PERSONS BY A NON-STEREO VISION SYSTEM

      
Numéro d'application CN2021071443
Numéro de publication 2022/151032
Statut Délivré - en vigueur
Date de dépôt 2021-01-13
Date de publication 2022-07-21
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Li, Yun
  • Liu, Li
  • Liu, Zhang
  • Na, Yueyue
  • Wang, Ziteng
  • Tian, Biao
  • Fu, Qiang

Abrégé

Methods and systems are provided for localizing subjects captured in image data by non-stereo vision and localizing source of captured audio by a computing system, to implement responsive conducting of transactional services by an interactive terminal. Prior to routine operation, the computing system of the interactive terminal may be calibrated by fitting subject bearing angles and subject distances relative to the interactive terminal, from captured images, to two respective regression models. During routine operation, the computing system may perform regression computations upon measurements of detected subjects from captured images to localize subject bearing angles and subject distances. Such image localizations may be further enhanced based on audio localizations, further based on calibration. In these manners, tradeoffs are made to accept margins of error to reduce computational complexity, enabling the interactive terminal as a whole to be implemented and deployed with greater flexibility in components and cost than stereo vision systems.

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

22.

DATA PROCESSING METHOD, APPARATUS AND SYSTEM

      
Numéro d'application CN2022070959
Numéro de publication 2022/152071
Statut Délivré - en vigueur
Date de dépôt 2022-01-10
Date de publication 2022-07-21
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Wu, Caidi
  • Wei, Lufei
  • Cheng, Liang

Abrégé

Disclosed are a data processing method, apparatus and system. The method comprises: separating a preset data processing module from a machine learning model to generate a security application module, wherein the security application module is used for performing encryption calculation on data input into the machine learning model; taking, by means of a preset operator, an output value of an operation layer in the machine learning model after separation as an input value that is input into the security application module, and inputting the input value into the security application module; performing, by means of the security application module and according to the input value, subgraph calculation in an isolated operation environment, so as to obtain a calculation result; and returning the calculation result to the preset operator. The present invention solves the technical problem of the operation pressure of a TEE model being poor caused by different reasoning frameworks, in the related art, needing to be adapted in the TEE model according to different customer requirements.

Classes IPC  ?

  • G06F 21/57 - Certification ou préservation de plates-formes informatiques fiables, p.ex. démarrages ou arrêts sécurisés, suivis de version, contrôles de logiciel système, mises à jour sécurisées ou évaluation de vulnérabilité

23.

DISEASE TYPE IDENTIFICATION METHOD, DEVICE AND SYSTEM, AND STORAGE MEDIUM

      
Numéro d'application CN2022072223
Numéro de publication 2022/152280
Statut Délivré - en vigueur
Date de dépôt 2022-01-17
Date de publication 2022-07-21
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s) Zhou, Yifeng

Abrégé

Provided are a disease type identification method, device and system, and a storage medium. The method comprises: performing disease feature extraction on medical record data of a patient to be reviewed, and performing disease type identification according to the disease features of the patient to be reviewed, so as to determine the disease type of the patient to be reviewed, thereby achieving automated identification of the disease type of a patient, and facilitating improving the disease type identification efficiency.

Classes IPC  ?

  • G16H 50/70 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour extraire des données médicales, p.ex. pour analyser les cas antérieurs d’autres patients

24.

OBJECT TRACKING METHOD, GROUND OBJECT TRACKING METHOD, DEVICE, SYSTEM, AND STORAGE MEDIUM

      
Numéro d'application CN2022071259
Numéro de publication 2022/152110
Statut Délivré - en vigueur
Date de dépôt 2022-01-11
Date de publication 2022-07-21
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s) Gao, Fujie

Abrégé

Embodiments of the present application provide an object tracking method, a ground object tracking method, a device, a system, and a storage medium. In the object tracking method, by performing instance segmentation on a bi-temporal image, a tracked object in the bi-temporal image can be finely detected, and by performing change detection on pixel coordinates corresponding to the bi-temporal image, a pixel-level change state detection result can be obtained. On the basis of the tracked object obtained by segmentation and the pixel-level change state detection result, a change state of the tracked object in the bi-temporal image can be accurately obtained, and the accuracy and reliability of an object tracking result can be improved.

Classes IPC  ?

  • G06T 7/11 - Découpage basé sur les zones
  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
  • G06N 3/02 - Réseaux neuronaux

25.

INFORMATION FLOW IDENTIFICATION METHOD, NETWORK CHIP, AND NETWORK DEVICE

      
Numéro d'application CN2022071915
Numéro de publication 2022/152230
Statut Délivré - en vigueur
Date de dépôt 2022-01-14
Date de publication 2022-07-21
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Yu, Nianbing
  • Qiao, Yisong

Abrégé

Embodiments of the present application provide an information flow identification method, a network chip, and a network device. In the embodiments of the present application, an information flow is identified by using an on-chip memory in combination with an off-chip memory. First, the identification of a potential flow is performed by means of the advantage of a greater access bandwidth of the on-chip memory, such that the speed of identifying a potential flow can be improved. Second, only the potential flow, instead of all information flows, is further identified by means of the advantage of the larger storage space of the off-chip memory, such that the number of accesses to the off-chip memory can be reduced, thereby facilitating the improvement of the efficiency and accuracy of identifying a target flow.

Classes IPC  ?

  • H04L 47/31 - Commande de flux; Commande de la congestion par marquage de paquets, p.ex. en utilisant des bits d'éligibilité de rejet [DE]
  • H04L 47/24 - Trafic caractérisé par des attributs spécifiques, p.ex. la priorité ou QoS
  • H04L 47/80 - Actions liées au type d'utilisateur ou à la nature du flux

26.

DATA PROCESSING METHOD AND APPARATUS, COMPUTING DEVICE, AND TEST SIMPLIFICATION DEVICE

      
Numéro d'application CN2021141953
Numéro de publication 2022/143621
Statut Délivré - en vigueur
Date de dépôt 2021-12-28
Date de publication 2022-07-07
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s) Zhang, Mengyuan

Abrégé

Provided are a data processing method and apparatus, a computing device, and a test simplification device. The data processing method comprises: in response to a parameter optimization request, determining a target function corresponding to the parameter optimization request (101); during the process of performing a parameter test on any candidate parameter in the target function, calling a test simplification module to determine whether the parameter test satisfies simplification conditions, and obtaining a determination result (102); if the determination result is that the parameter test satisfies the simplification conditions, stopping the parameter test of the candidate parameters (103); and if the determination result is that the parameter test does not satisfy the simplification conditions, continuing to execute the parameter test of the candidate parameters to obtain a test result of the candidate parameters (104). The parameter testing efficiency is improved.

Classes IPC  ?

  • G06N 3/04 - Architecture, p.ex. topologie d'interconnexion
  • G06N 3/08 - Méthodes d'apprentissage
  • G06N 5/00 - Agencements informatiques utilisant des modèles fondés sur la connaissance
  • G06N 7/00 - Agencements informatiques fondés sur des modèles mathématiques spécifiques

27.

RECYCLE OPTIMIZATION IN STORAGE ENGINE

      
Numéro d'application CN2020140149
Numéro de publication 2022/140916
Statut Délivré - en vigueur
Date de dépôt 2020-12-28
Date de publication 2022-07-07
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Xu, Peng
  • Xu, Yikang
  • Du, Yu
  • Wang, Rui

Abrégé

When performing a recycling operation on a storage device, a storage system may use or create a data buffer in the storage device, and designate the data buffer to temporarily store data of data blocks to be recycled in the storage device using direct memory access (DMA) operations that are performed internally in the storage device, without the need of reading the data of the data blocks from the storage device and writing the data into a host memory of the storage system, thereby saving or reducing the consumptions of the communication bandwidth of a communication channel between the storage system and the storage device, and the memory bandwidth of the host memory.

Classes IPC  ?

  • G06F 12/06 - Adressage d'un bloc physique de transfert, p.ex. par adresse de base, adressage de modules, extension de l'espace d'adresse, spécialisation de mémoire

28.

STORAGE RECORD ENGINE IMPLEMENTING EFFICIENT TRANSACTION REPLAY

      
Numéro d'application CN2020140151
Numéro de publication 2022/140917
Statut Délivré - en vigueur
Date de dépôt 2020-12-28
Date de publication 2022-07-07
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Xu, Yikang
  • Du, Yu
  • Xu, Peng
  • Wang, Rui

Abrégé

A storage record engine implemented on a storage system is provided. The storage record engine further organizes hosted storage of the storage system into superblocks and chunks organized by respective metadata, the chunks being further organized into chunk segments amongst superblocks. Persistent storage operations may cause modifications to the metadata, which may be recorded in a transaction log, records of which may be replayed to commit the modifications to hosted storage. The replay functionality may establish recovery of data following a system failure, wherein replay of records of transaction logs in a fashion interleaved with checkpoint metadata avoids preemption of normal storage device activity during a recovery process, and improves responsiveness of the storage system from the perspective of end devices.

Classes IPC  ?

  • G06F 16/31 - Indexation; Structures de données à cet effet; Structures de stockage

29.

METHOD AND SYSTEM FOR IN-MEMORY METADATA REDUCTION IN CLOUD STORAGE SYSTEM

      
Numéro d'application CN2020140152
Numéro de publication 2022/140918
Statut Délivré - en vigueur
Date de dépôt 2020-12-28
Date de publication 2022-07-07
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Du, Yu
  • Wang, Rui
  • Xu, Peng
  • Xu, Yikang

Abrégé

Methods and systems for in-memory metadata reduction in cloud storage system are provided. According to an aspect, a method comprises receiving a first command to write a data stream to a storage device; writing the data stream into a plurality of fragments having logical addresses corresponding to physical addresses on the storage device; and generating an index for individual fragment of the plurality of fragments, the index indicating information to locate the physical addresses of the individual fragment. Individual records in the individual fragment have a same pre-set logical size and all individual records in the individual fragment are continuous, and the index indicates the information including at least: an offset value of the individual record in the individual fragment; the pre-set logical size of the individual record; and a pre-set physical size of the individual record.

Classes IPC  ?

  • G06F 12/06 - Adressage d'un bloc physique de transfert, p.ex. par adresse de base, adressage de modules, extension de l'espace d'adresse, spécialisation de mémoire

30.

MEMORY-FRUGAL INDEX DESIGN IN STORAGE ENGINE

      
Numéro d'application CN2021070193
Numéro de publication 2022/141650
Statut Délivré - en vigueur
Date de dépôt 2021-01-04
Date de publication 2022-07-07
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Xu, Yikang
  • Wang, Rui
  • Xu, Peng
  • Du, Yu

Abrégé

A storage engine may be configured to employ different formats for index fragments and index entries of respective records in the index fragments based at least in part on record properties of the respective records in the index fragments, to reduce an amount of memory space that is consumed or used for storing the index fragments in a memory associated with the storage engine, without compromising the efficiency of searching the records stored in a storage device. Using different formats for index fragments covering records of different record properties, the storage engine may further be configured to create, maintain, and update index mappings for records stored or included in the storage device, to provide functionalities of point-lookup, range query, deletion, and additions of the records in the storage device.

Classes IPC  ?

  • G06F 16/22 - Indexation; Structures de données à cet effet; Structures de stockage

31.

VISUAL TRACKING SYSTEM FOR ACTIVE OBJECT

      
Numéro d'application CN2021070194
Numéro de publication 2022/141651
Statut Délivré - en vigueur
Date de dépôt 2021-01-04
Date de publication 2022-07-07
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Li, Yun
  • Liu, Li
  • Tian, Biao
  • Liu, Zhang
  • Wang, Ziteng
  • Na, Yueyue
  • Fu, Qiang

Abrégé

A visual tracking system helps to detect or locate an active object (such as an active sound source) in a live video or recorded video, and provides a way to help a user who views the live video or recorded video to focus on the active object, without easily being disturbed or distracted by other objects that are present with the active object. The visual tracking system may further track the active object, or detect a new active object when the live video or recorded video is played.

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
  • G01S 5/18 - Localisation par coordination de plusieurs déterminations de direction ou de ligne de position; Localisation par coordination de plusieurs déterminations de distance utilisant des ondes ultrasonores, sonores ou infrasonores

32.

SERVICE REQUEST AND PROVISION METHOD, DEVICE, AND STORAGE MEDIUM

      
Numéro d'application US2021065115
Numéro de publication 2022/146880
Statut Délivré - en vigueur
Date de dépôt 2021-12-23
Date de publication 2022-07-07
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Yu, Xiaobo
  • Bai, Changming
  • Liu, Dapeng

Abrégé

Through further capability exposure of a network slice management system, an application server is enabled to request, from the network slice management system, a network slice template service or a network slice capability service in addition to the network slice service, thus making full use of the slice management capabilities and resources in the slice management system, which in turn enhances the efficiency in using slice management capabilities and resources.

Classes IPC  ?

  • H04L 12/24 - Dispositions pour la maintenance ou la gestion
  • H04W 16/04 - Répartition des ressources adaptable au trafic

33.

METHOD, APPARATUS, AND ELECTRONIC DEVICE FOR OBTAINING TRADEMARK SIMILARITY

      
Numéro d'application US2021065402
Numéro de publication 2022/147049
Statut Délivré - en vigueur
Date de dépôt 2021-12-28
Date de publication 2022-07-07
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Liu, Yingchi
  • Li, Quanzhi
  • Sun, Changlong

Abrégé

A method for obtaining trademark similarity is disclosed in the present application, and includes: obtaining character information of a first trademark and character information of a second trademark; constructing a feature information set according to the character information of the first trademark and the character information of the second trademark; and obtaining a degree of similarity between the first trademark and the second trademark based on the feature information set. By automatically constructing multiple pieces of feature information for evaluating trademark similarity, this method can quickly and accurately obtain a degree of similarity between trademarks, and at the same time, can also avoid the problems of manual design rules or inaccurate calculation of manual design rules.

Classes IPC  ?

  • G06F 17/30 - Recherche documentaire; Structures de bases de données à cet effet

34.

PROCESSING SYSTEM WITH INTEGRATED DOMAIN SPECIFIC ACCELERATORS

      
Numéro d'application CN2020138277
Numéro de publication 2022/133718
Statut Délivré - en vigueur
Date de dépôt 2020-12-22
Date de publication 2022-06-30
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Wang, Yuhao
  • Du, Chaoyang
  • Chen, Yen-Kuang
  • Han, Wei
  • Li, Shuangchen
  • Xue, Fei
  • Zheng, Hongzhong

Abrégé

A number of domain specific accelerators (DSA1-DSAn) are integrated into a conventional processing system (100) to operate on the same chip by adding additional instructions to a conventional instruction set architecture (ISA), and further adding an accelerator interface unit (130) to the processing system (100) to respond to the additional instructions and interact with the DSAs.

Classes IPC  ?

  • G06F 5/06 - Procédés ou dispositions pour la conversion de données, sans modification de l'ordre ou du contenu des données maniées pour modifier la vitesse de débit des données, c. à d. régularisation de la vitesse

35.

HYBRID MEMORY MANAGEMENT SYSTEMS AND METHODS WITH IN-STORAGE PROCESSING AND ATTRIBUTE DATA MANAGEMENT

      
Numéro d'application CN2020139163
Numéro de publication 2022/133955
Statut Délivré - en vigueur
Date de dépôt 2020-12-24
Date de publication 2022-06-30
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Niu, Dimin
  • Guan, Tianchan
  • Zheng, Hongzhong
  • Li, Shuangchen

Abrégé

A memory module can include a hybrid media controller coupled to a volatile memory (105), a non-volatile memory (110), a non-volatile memory buffer (145) and a set of memory mapped input/output (MMIO) register. The hybrid media controller (155) can be configured for reading and writing data to a volatile memory (105) of a memory mapped space of a memory module. The hybrid media controller (155) can also be configured for reading and writing bulk data to a non-volatile memory (110) of the memory mapped space. The hybrid media controller (155) can also be configured for reading and writing data of a random-access granularity to the non-volatile memory (110) of the memory mapped space. The hybrid media controller (155) can also be configured for self-indexed moving data between the non-volatile memory (110) and the volatile memory (105) of the memory module.

Classes IPC  ?

  • G06F 12/06 - Adressage d'un bloc physique de transfert, p.ex. par adresse de base, adressage de modules, extension de l'espace d'adresse, spécialisation de mémoire

36.

SYSTEMS AND METHODS FOR IMAGE-TO-VIDEO RE-IDENTIFICATION

      
Numéro d'application CN2020139702
Numéro de publication 2022/134104
Statut Délivré - en vigueur
Date de dépôt 2020-12-25
Date de publication 2022-06-30
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Wang, Pichao
  • Wang, Fan
  • Li, Hao
  • Xu, Yinghui
  • Jin, Rong

Abrégé

A computer-implemented method includes: obtaining a model trained based at least on knowledge distillation between a teacher network and a student network according to a modified triplet loss; obtaining an image and a plurality of videos; feeding the image and the plurality of videos to the model to obtain one or more first features of the image and one or more second features of each of the plurality of videos; and determining one or more of the plurality of videos that match the image according to the one or more first features and the one or more second features.

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

37.

INFORMATION PROVISION METHOD AND APPARATUS, AND ELECTRONIC DEVICE

      
Numéro d'application CN2021135637
Numéro de publication 2022/121827
Statut Délivré - en vigueur
Date de dépôt 2021-12-06
Date de publication 2022-06-16
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Huang, Xu
  • Xu, Jie
  • Shi, Liang
  • Chen, Danqiong
  • Gao, Jie
  • Zhang, Yuping

Abrégé

An information provision method, comprising: receiving a reference notification message that a target account is referred, the reference notification message being sent by a first information system after receiving a request initiated by a first user for first information content by referring to the target account, the first information content comprising information content generated in the first information system, and the target account being associated with a second information system; obtaining the first information content; obtaining, from an information library associated with the second information system, second information content related to the first information content; and providing the second information content for the first user. The method can conveniently provide associated commodity object information for content of interest to users of a social network system.

Classes IPC  ?

  • G06F 16/9535 - Adaptation de la recherche basée sur les profils des utilisateurs et la personnalisation

38.

METHOD FOR USING ADAPTIVE LOOP FILTER AND SYSTEM THEREOF

      
Numéro d'application CN2021134174
Numéro de publication 2022/116949
Statut Délivré - en vigueur
Date de dépôt 2021-11-29
Date de publication 2022-06-09
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Chen, Jie
  • Liao, Ru-Ling
  • Li, Xinwei
  • Ye, Yan

Abrégé

A video data processing method includes: receiving a bitstream; decoding a first index from the bitstream; determining a maximum number of an adaptive loop filter (ALF) for a component of a picture based on the first index; and processing pixels in the picture with the ALF.

Classes IPC  ?

  • H04N 19/82 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques - Détails des opérations de filtrage spécialement adaptées à la compression vidéo, p.ex. pour l'interpolation de pixels mettant en œuvre le filtrage dans une boucle de prédiction

39.

PACKET PROCESSING METHOD, DEVICE, SYSTEM, AND STORAGE MEDIUM

      
Numéro d'application CN2021134251
Numéro de publication 2022/116953
Statut Délivré - en vigueur
Date de dépôt 2021-11-30
Date de publication 2022-06-09
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s) Lyu, Yilong

Abrégé

A packet processing method, a device, a system, and a storage medium. A programmable device may provide, to a CPU to perform processing, a packet header of a packet to be processed; and splicing the packet header processed by the CPU and a payload part of the packet to be processed to obtain a target packet. Not only the payload part of the packet is processed with high performance using programmable device hardware, but the complicated business logic in packet header processing is flexibly processed using software in the CPU, and because the length of the packet header is relatively short, performance loss in CPU software processing due to long-packet copy processing will not occur, thus facilitating improvement of network forwarding performance.

Classes IPC  ?

  • H04L 9/40 - Protocoles réseaux de sécurité

40.

NEURAL NETWORK NEAR MEMORY PROCESSING

      
Numéro d'application CN2020133406
Numéro de publication 2022/116051
Statut Délivré - en vigueur
Date de dépôt 2020-12-02
Date de publication 2022-06-09
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Guan, Tianchan
  • Niu, Dimin
  • Zheng, Hongzhong
  • Li, Shuangchen

Abrégé

Near memory processing systems for graph neural network processing can include a central core coupled to one or more memory units. The memory units can include one or more controllers and a plurality of memory devices. The system can be configured for offloading aggregation, concentrate and the like operations from the central core to the controllers of the one or more memory units. The central core can sample the graph neural network and schedule memory accesses for execution by the one or more memory units. The central core can also schedule aggregation, combination or the like operations associated with one or more memory accesses for execution by the controller. The controller can access data in accordance with the data access requests from the central core. One or more computation units of the controller can also execute the aggregation, combination or the like operations associated with one or more memory access. The central core can then execute further aggregation, combination or the like operations or computations of end use applications on the data returned by the controller.

Classes IPC  ?

  • G06N 3/063 - Réalisation physique, c. à d. mise en œuvre matérielle de réseaux neuronaux, de neurones ou de parties de neurone utilisant des moyens électroniques

41.

COMMODITY OBJECT SETTLEMENT PROCESSING METHOD AND APPARATUS, AND ELECTRONIC DEVICE

      
Numéro d'application CN2021134258
Numéro de publication 2022/116954
Statut Délivré - en vigueur
Date de dépôt 2021-11-30
Date de publication 2022-06-09
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Xu, Ling
  • Zhao, Shuangchan

Abrégé

Disclosed are a commodity object settlement processing method and apparatus, and an electronic device. The method comprises: determining a plurality of commodity objects to be settled, wherein price attribute information of at least two commodity objects is associated with different first currency types; determining a second currency type required to be used when a payment operation is executed; creating at least two transaction orders according to the plurality of commodity objects, and determining settlement result information respectively corresponding to the at least two transaction orders, wherein the settlement result information is described by means of the second currency type; and providing a combined payment operation option for performing combined payment on the at least two transaction orders. By means of the embodiments of the present application, for a scenario of multi-currency quotation and multi-currency payment, a user operation can be simplified.

Classes IPC  ?

  • G06Q 30/06 - Transactions d’achat, de vente ou de crédit-bail

42.

METHODS AND SYSTEMS FOR CROSS-COMPONENT SAMPLE ADAPTIVE OFFSET

      
Numéro d'application CN2021134866
Numéro de publication 2022/117010
Statut Délivré - en vigueur
Date de dépôt 2021-12-01
Date de publication 2022-06-09
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Li, Xinwei
  • Liao, Ru-Ling
  • Chen, Jie
  • Ye, Yan

Abrégé

A video data processing method for cross-component sample adaptive offset is provided. The method includes receiving a bitstream; determining a category index of a target chroma sample, wherein the category index is determined based on a first reconstructed value associated with a co-located luma sample and a second reconstructed value associated with the target chroma sample; decoding an index indicating an offset corresponding to the category index from the bitstream; determining the offset based on the index; and adding the offset to a third reconstructed value associated with the target chroma sample.

Classes IPC  ?

  • H04N 19/117 - Filtres, p.ex. pour le pré-traitement ou le post-traitement
  • H04N 19/13 - Codage entropique adaptatif, p.ex. codage adaptatif à longueur variable [CALV] ou codage arithmétique binaire adaptatif en fonction du contexte [CABAC]

43.

METHODS AND SYSTEMS OF GENERATING VIRTUAL REFERENCE PICTURE FOR VIDEO PROCESSING

      
Numéro d'application CN2020129887
Numéro de publication 2022/104609
Statut Délivré - en vigueur
Date de dépôt 2020-11-18
Date de publication 2022-05-27
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Zhao, Lei
  • Wang, Shiqi
  • Zhang, Xinfeng
  • Wang, Shanshe
  • Ma, Siwei

Abrégé

Methods and apparatuses for video processing include: in response to receiving a video sequence, determining a plurality of reconstructed pictures before a target picture of the video sequence in a temporal order; determining a prediction picture based on an optical flow between two of the plurality of reconstructed pictures; determining a virtual reference picture by inputting the plurality of reconstructed pictures and the prediction picture into a prediction model determined using a machine learning technique; and encoding or decoding the target picture using the virtual reference picture as a reference picture.

Classes IPC  ?

44.

SYSTEMS AND METHODS FOR SIMULATION OF QUANTUM CIRCUITS USING DECOUPLED HAMILTONIANS

      
Numéro d'application CN2020130302
Numéro de publication 2022/104671
Statut Délivré - en vigueur
Date de dépôt 2020-11-20
Date de publication 2022-05-27
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Ding, Dawei
  • Zhao, Huihai
  • Shi, Yaoyun

Abrégé

Methods and techniques are provided for simulating a quantum circuit. A system can perform operations including generating a transformed Hamiltonian corresponding to a quantum circuit. The transformed Hamiltonian can include transformed local and coupling Hamiltonians. Generation of the transformed Hamiltonian can include obtaining a charge coupling matrix and a flux coupling matrix of an original Hamiltonian corresponding to the quantum circuit and at least partially diagonalizing the charge coupling matrix and the flux coupling matrix. The operations can further include determining a limited eigenbasis including a number of eigenvectors of the transformed local Hamiltonian, projecting the transformed coupling Hamiltonian and the transformed local Hamiltonian onto the limited eigenbasis, and generating an at least partially decoupled Hamiltonian by combining the projection of the transformed coupling and local Hamiltonians. The operations can further include simulating a behavior of the quantum circuit using the at least partially decoupled Hamiltonian.

Classes IPC  ?

  • G06N 10/00 - Informatique quantique, c. à d. traitement de l’information fondé sur des phénomènes de mécanique quantique

45.

NON-LINEAR CAUSAL MODELING BASED ON ENCODED KNOWLEDGE

      
Numéro d'application CN2020129910
Numéro de publication 2022/104616
Statut Délivré - en vigueur
Date de dépôt 2020-11-18
Date de publication 2022-05-27
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Li, Yan
  • Liu, Chunchen
  • Sun, Yijiao

Abrégé

The present disclosure provides optimizing a causal additive model conforming to structural constraints of directedness and acyclicity, and also encoding both positive and negative relationship constraints reflected by prior knowledge, so that the model, during fitting to one or more sets of observed variables, will tend to match expected observations as well as domain-specific reasoning regarding causality, and will conform to directedness and acyclicity requirements for Bayesian statistical distributions. Computational workload is decreased and computational efficiency is increased due to the implementation of causal additive model improvements to reduce search space and enforce directedness, while intuitive correctness of the outcome causality is ensured by prioritizing encoding of prior knowledge over optimizing a loss function.

Classes IPC  ?

  • G06N 5/04 - Modèles d’inférence ou de raisonnement

46.

SYSTEMS AND METHODS FOR SIMULATION OF QUANTUM CIRCUITS USING EXTRACTED HAMILTONIANS

      
Numéro d'application CN2020130301
Numéro de publication 2022/104670
Statut Délivré - en vigueur
Date de dépôt 2020-11-20
Date de publication 2022-05-27
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Ding, Dawei
  • Zhao, Huihai
  • Ku, Hsiang-Sheng

Abrégé

A method for optimizing a quantum circuit is disclosured. The method comprises acquiring a representation of a quantum circuit comprising one or more qubits, transforming, by linear transformation, first Hamiltonian corresponding to the quantum circuit to generate a second Hamiltonian in which free modes are decoupled from non-free modes, generating a third Hamiltonian by removing the free modes from the second Hamiltonian, simulating a behavior of the quantum circuit using the third Hamiltonian, and adjusting a design of the quantum circuit based on the simulated behavior of the quantum circuit.

Classes IPC  ?

  • G06N 10/00 - Informatique quantique, c. à d. traitement de l’information fondé sur des phénomènes de mécanique quantique

47.

SYSTEM AND METHOD FOR REAL-TIME FIBER PERFORMANCE MONITORING

      
Numéro d'application CN2020128445
Numéro de publication 2022/099552
Statut Délivré - en vigueur
Date de dépôt 2020-11-12
Date de publication 2022-05-19
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Xie, Chongjin
  • Chen, Sai
  • Dou, Liang
  • Zhang, Huan

Abrégé

One embodiment described herein provides a system for monitoring performance of fibers in an optical transport network. The system can include a plurality of optical time-domain reflectometer (OTDR) modules and an OTDR control-and-management module coupled to the plurality of OTDR modules. A respective OTDR module is embedded in a network element of the optical transport network and is coupled to an optical fiber span. The OTDR control-and-management module configures the respective OTDR module to monitor, in real time, performance of the coupled optical fiber span, which can include detecting a fault in the coupled optical fiber span and identifying a location of the detected fault.

Classes IPC  ?

  • H04B 10/071 - Dispositions pour la surveillance ou le test de systèmes de transmission; Dispositions pour la mesure des défauts de systèmes de transmission utilisant un signal réfléchi, p.ex. utilisant des réflectomètres optiques temporels [OTDR]

48.

ERROR DETECTION, PREDICTION AND HANDLING TECHNIQUES FOR SYSTEM-IN-PACKAGE MEMORY ARCHITECTURES

      
Numéro d'application CN2020126346
Numéro de publication 2022/094776
Statut Délivré - en vigueur
Date de dépôt 2020-11-04
Date de publication 2022-05-12
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Niu, Dimin
  • Guan, Tianchan
  • Zheng, Hongzhong
  • Li, Shuangchen

Abrégé

A system-in-package including a logic die and one or more memory dice can include a reliability availability serviceability (RAS) memory management unit (MMU) for memory error detection, memory error prediction and memory error handling. The RAS MMU can receive memory health information, on-die memory error information, system error information and read address information for the one or more memory dice. The RAS MMU can manage the memory blocks of the one or more memory dice based on the memory health information, on-die memory error type, system error type and read address. The RAS MMU can also further manage the memory blocks based on received on-die memory temperature information and or system temperature information.

Classes IPC  ?

  • G06F 11/00 - Détection d'erreurs; Correction d'erreurs; Contrôle de fonctionnement

49.

OFFSET-BASED REFINEMENT OF INTRA PREDICTION (ORIP) OF VIDEO CODING

      
Numéro d'application CN2021127058
Numéro de publication 2022/095783
Statut Délivré - en vigueur
Date de dépôt 2021-10-28
Date de publication 2022-05-12
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Mohammed, Golam Sarwer
  • Ye, Yan

Abrégé

The present disclosure provides methods and apparatuses for applying intra prediction refinement to intra predicted samples. An exemplary method includes: determining a filter based on neighboring samples of intra predicted samples of a picture; generating an offset value based on the neighboring samples; refining the intra predicted samples by adding the offset value; and applying the filter to the intra predicted samples.

Classes IPC  ?

  • H04N 19/573 - Compensation de mouvement avec prédiction multi-trame utilisant plusieurs trames de référence dans une direction de prédiction donnée
  • H04N 19/11 - Sélection du mode de codage ou du mode de prédiction parmi plusieurs modes de codage prédictif spatial

50.

GRAPHICS CARD MEMORY MANAGEMENT METHOD AND APPARATUS, DEVICE, AND SYSTEM

      
Numéro d'application CN2021127856
Numéro de publication 2022/095815
Statut Délivré - en vigueur
Date de dépôt 2021-11-01
Date de publication 2022-05-12
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Xiao, Wencong
  • Ren, Shiru
  • Li, Yong

Abrégé

A graphics card memory management method and apparatus, a device, and a system. The method comprises: determining the priorities of a plurality of machine learning tasks run by means of a graphics processing unit (GPU); if graphics card memory resources are to be allocated to a high-priority task, and allocatable graphics card memory resources are less than a graphics card memory resource demand of the high-priority task, releasing at least some of graphics card memory resources occupied by a low-priority task; and allocating the graphics card memory resources to the high-priority task, so as to run the high-priority task at least according to tensor data of a graphics card memory space. By using such a processing method, when allocatable graphics card memory resources are insufficient, graphics card memory resources occupied by a low-priority task are allocated to a high-priority task for use, thereby performing dynamic scaling optimization on GPU graphics card memory resources occupied by a plurality of parallel machine learning tasks on a GPU. In this way, insofar as the performance of the high-priority task is guaranteed, the resource utilization rate of the whole cluster can be improved.

Classes IPC  ?

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

51.

VIRTUAL DATA COPY SUPPORTING GARBAGE COLLECTION IN DISTRIBUTED FILE SYSTEMS

      
Numéro d'application CN2020126866
Numéro de publication 2022/094895
Statut Délivré - en vigueur
Date de dépôt 2020-11-05
Date de publication 2022-05-12
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Lu, Qingda
  • Pang, Zhu
  • Wu, Jiesheng
  • Zhao, Xingsheng
  • Qiu, Sheng
  • Zhang, Xiaowei
  • Du, Yu
  • Zhu, Feng
  • Chen, Shuo
  • Xu, Yikang

Abrégé

Methods and systems implement a virtual copy operation which improves support of preemptive garbage collection policies at a distributed file system. A garbage collection process preemptively performs copying upon data in a log-structured file system. So that thread-blocking write operations are not distributed across nodes of a distributed file system node cluster, and thus avoid degradation of computational performance, a virtual copy operation is provided which, based on master node metadata, locates each chunk node storing blocks to be virtual copied and calls a remap API of a logical address mapper provided by a local file system of the chunk node. The logical address mapper of each chunk node performs remaps of disk addresses from source logical block addresses to destination block addresses, without relocating data from one disk address to another. The results of these remaps may be stored as metadata at the master node, replacing previously mapped metadata.

Classes IPC  ?

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

52.

SUPERCONDUCTING QUBIT AND PREPARATION METHOD THEREOF, QUANTUM STORAGE DEVICE, AND QUANTUM COMPUTER

      
Numéro d'application US2021055567
Numéro de publication 2022/093575
Statut Délivré - en vigueur
Date de dépôt 2021-10-19
Date de publication 2022-05-05
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s) Deng, Hao

Abrégé

The present disclosure provides a superconducting qubit. The superconducting qubit includes: a Josephson junction and a non-Josephson junction area, wherein the non-Josephson junction area includes a first layer of superconducting material, the first layer of superconducting material being superconducting material deposited on the non-Josephson junction area before ion milling on the Josephson junction and the non-Josephson junction area during preparation of the superconducting qubit.

Classes IPC  ?

  • H01L 39/24 - Procédés ou appareils spécialement adaptés à la fabrication ou au traitement des dispositifs couverts par  ou de leurs parties constitutives
  • H01L 27/18 - 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 présentant un effet de supraconductivité
  • H01L 39/02 - Dispositifs utilisant la supraconductivité ou l'hyperconductivité; Procédés ou appareils spécialement adaptés à la fabrication ou au traitement de ces dispositifs ou de leurs parties constitutives - Détails
  • H01L 39/04 - Conteneurs; Supports

53.

METHOD FOR PREPARING A JOSEPHSON JUNCTION, APPARATUS, AND DEVICE, AND SUPERCONDUCTING DEVICE

      
Numéro d'application US2021055996
Numéro de publication 2022/093618
Statut Délivré - en vigueur
Date de dépôt 2021-10-21
Date de publication 2022-05-05
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Gao, Ran
  • Qin, Jin
  • Deng, Chunqing

Abrégé

Methods, apparatuses, and devices for Josephson junction preparation includes: obtaining a first pattern structure for generating a first Josephson junction of a first type and a plurality of second pattern structures for generating a plurality of second Josephson junctions of a second type; evaporating a material on the first pattern structure and the plurality of second pattern structures based on a first evaporation direction to generate a first electrode layer for implementing information transmission; forming an insulating layer on the first electrode layer, the insulating layer including a compound corresponding to the material; evaporating the material on the first pattern structure and the plurality of second pattern structures based on a second evaporation direction to generate a second electrode layer for implementing information transmission; and forming the first Josephson junction and the plurality of second Josephson junctions.

Classes IPC  ?

  • H01L 39/22 - Dispositifs comportant une jonction de matériaux différents, p.ex. dispositifs à effet Josephson

54.

NEURAL PROCESSING UNIT SYNCHRONIZATION SYSTEMS AND METHODS

      
Numéro d'application CN2020125818
Numéro de publication 2022/088171
Statut Délivré - en vigueur
Date de dépôt 2020-11-02
Date de publication 2022-05-05
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Han, Liang
  • Wu, Zhengyuan
  • Lu, Ye

Abrégé

Systems and methods for exchanging synchronization information between processing units using a synchronization network are disclosed. The disclosed systems and methods include a device including a host and associated neural processing units. Each of the neural processing units can include a command communication module and a synchronization communication module. The command communication module can include circuitry for communicating with the host device over a host network. The synchronization communication module can include circuitry enabling communication between neural processing units over a synchronization network. The neural processing units can be configured to each obtain a synchronized update for a machine learning model. This synchronized update can be obtained at least in part by exchanging synchronization information using the synchronization network. The neural processing units can each maintain a version of the machine learning model and can synchronize it using the synchronized update.

Classes IPC  ?

  • H04Q 11/00 - Dispositifs de sélection pour systèmes multiplex

55.

CONTAINER-BASED APPLICATION MANAGEMENT METHOD AND APPARATUS

      
Numéro d'application CN2021125158
Numéro de publication 2022/089281
Statut Délivré - en vigueur
Date de dépôt 2021-10-21
Date de publication 2022-05-05
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Shi, Mingwei
  • Zhou, Xinyu
  • Xu, Xiaobin
  • Nie, Shichao
  • Zhan, Zhouxiang
  • Wang, Chuan

Abrégé

Disclosed are a container-based application management method and apparatus. A serverless computing system achieved on the basis of a container is configured to allow application instances to be in one of an online state and a low power consumption state at runtime. In response to performing a capacity reduction process on an application, at least one first application instance of the application in the online state is brought into the low power consumption state; and in response to performing a capacity expansion process on the application, at least one second application instance of the application in the low power consumption state is brought into the online state. Thus, application instances can be rapidly and elastically scaled while the costs of the application instances are reduced.

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

56.

DATA TRANSMISSION METHOD, DEVICE, NETWORK SYSTEM, AND STORAGE MEDIUM

      
Numéro d'application CN2021126035
Numéro de publication 2022/089352
Statut Délivré - en vigueur
Date de dépôt 2021-10-25
Date de publication 2022-05-05
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Zheng, Xiao
  • Li, Weinan
  • Lyu, Tao
  • Long, Xin

Abrégé

A data transmission method, a device, a network system, and a storage medium. According to the method, a PCIe request end requests an application scenario of a data fragment from a PCIe destination end according to a Non-Posted data transmission mode; and on a PCIe link, the Non-Posted data transmission mode is converted, without the perception of the PCIe request end and PCIe destination end, into a Posted data transmission mode by means of pre-reading, so that the delay of the PCIe link is reduced, and the utilization of bandwidth of the PCIe link is improved.

Classes IPC  ?

  • G06F 13/38 - Transfert d'informations, p.ex. sur un bus
  • G06F 13/16 - Gestion de demandes d'interconnexion ou de transfert pour l'accès au bus de mémoire

57.

COMPUTER MEMORY-SIDE POINTER CHASING

      
Numéro d'application CN2020121799
Numéro de publication 2022/082342
Statut Délivré - en vigueur
Date de dépôt 2020-10-19
Date de publication 2022-04-28
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Li, Shuangchen
  • Niu, Dimin
  • Zheng, Hongzhong
  • Guan, Tianchan

Abrégé

A computer system includes a memory-side component that executes instructions to implement memory-side pointer chasing in, for example, a graph neural network applied to the analysis of graphs.

Classes IPC  ?

  • G06F 12/0806 - Systèmes de mémoire cache multi-utilisateurs, multiprocesseurs ou multitraitement

58.

METHOD AND SYSTEM FOR EMBEDDING WITH SMART MEMORY POOL

      
Numéro d'application CN2020122435
Numéro de publication 2022/082493
Statut Délivré - en vigueur
Date de dépôt 2020-10-21
Date de publication 2022-04-28
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Zhu, Dengcheng
  • Zheng, Jun
  • Du, Yin
  • Sun, Hua

Abrégé

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing embedding operations, are described. An exemplary method may be implemented on a computing system comprising a plurality of interconnected electronic cards each storing at least a portion of one or more embedding tables, and the method comprising: obtaining a machine-learning job for a machine-learning model, the machine-learning job comprises a plurality of features, wherein the plurality of features comprise a plurality of sparse features; performing, by the plurality of electronic cards, a plurality of embedding tasks based on the one or more embedding tables to obtain a plurality of embedding results; aggregating the obtained embedding results to obtain input for the machine-learning model to process the machine-learning job. By implementing near-memory computation in a memory pool for large embedding processing, the method provides technical benefits by solving memory capacity and bandwidth challenges and reducing latency.

Classes IPC  ?

59.

SHORT MESSAGE PROCESSING METHOD AND APPARATUS, DEVICE, AND STORAGE MEDIUM

      
Numéro d'application CN2021124551
Numéro de publication 2022/083562
Statut Délivré - en vigueur
Date de dépôt 2021-10-19
Date de publication 2022-04-28
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s) Fan, Yajie

Abrégé

The embodiments of the present disclosure relate to a short message processing method and apparatus, a device, and a storage medium. Said method comprises: acquiring a short message received by a terminal device; then performing type identification processing and key information extraction processing on the short message, so as to obtain the type and key information of the short message; according to the identified short message type, acquiring rich media resources matching the short message type; and generating a corresponding intelligent short message according to the acquired key information and rich media resources. The embodiments of the present disclosure can make the display of a short message more interesting and attractive, being suitable for short messages for marketing and promotion and new client acquisition.

Classes IPC  ?

  • H04M 1/72436 - Interfaces utilisateur spécialement adaptées aux téléphones sans fil ou mobiles avec des moyens de soutien local des applications accroissant la fonctionnalité avec des moyens interactifs de gestion interne des messages pour la messagerie textuelle, p.ex. SMS ou courriel
  • H04M 1/725 - Téléphones sans fil
  • H04M 1/724 - Interfaces utilisateur spécialement adaptées aux téléphones sans fil ou mobiles

60.

SOUND SOURCE TRACKING METHOD AND APPARATUS, AND DEVICE, SYSTEM AND STORAGE MEDIUM

      
Numéro d'application CN2021122742
Numéro de publication 2022/078249
Statut Délivré - en vigueur
Date de dépôt 2021-10-09
Date de publication 2022-04-21
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Huang, Weilong
  • Li, Wei
  • Feng, Jinwei

Abrégé

A sound source tracking method and apparatus, and a device, a system and a storage medium. The method comprises: acquiring an acoustic signal stream collected by a microphone array under at least one time frame (100); performing sound source orientation estimation on the basis of the acoustic signal stream, so as to obtain an information stream that includes sound source orientation information under the at least one time frame (101); converting the information stream into visualization data that describes an orientation distribution state of a sound source (102); and performing sound source tracking according to the visualization data (103). In the method, an information stream that includes sound source orientation information is converted into visualization data that describes an orientation distribution state of a sound source, and sound source tracking is performed on the basis of the visualization data. By means of the method, the accuracy of sound source tracking can be effectively improved, and the adaptability to various complicated environments can be improved.

Classes IPC  ?

  • G01S 5/18 - Localisation par coordination de plusieurs déterminations de direction ou de ligne de position; Localisation par coordination de plusieurs déterminations de distance utilisant des ondes ultrasonores, sonores ou infrasonores

61.

COMMODITY OBJECT PROCESSING METHOD, COMMODITY OBJECT INFORMATION PROCESSING METHOD, PAGE, APPARATUS, AND ELECTRONIC DEVICE

      
Numéro d'application CN2021120862
Numéro de publication 2022/068758
Statut Délivré - en vigueur
Date de dépôt 2021-09-27
Date de publication 2022-04-07
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s) Qiao, Junping

Abrégé

A commodity object processing method, a commodity object information processing method, a page, an apparatus, and an electronic device. The method comprises: determining a plurality of commodity objects in a target set associated with a user (S201); determining, from the target set, at least one target commodity object supporting a same target logistics scheme (S202); and generating a page corresponding to the target set, and aggregating the at least one target commodity object into a same area for display (S203). The method allows users to better enjoy a higher-quality logistics service provided by the target logistics scheme.

Classes IPC  ?

  • G06Q 10/04 - Prévision ou optimisation spécialement adaptées à des fins administratives ou de gestion, p. ex. programmation linéaire ou "problème d’optimisation des stocks"
  • G06Q 10/08 - Logistique, p.ex. entreposage, chargement ou distribution; Gestion d’inventaires ou de stocks
  • G06Q 30/06 - Transactions d’achat, de vente ou de crédit-bail

62.

SUPPLEMENTAL ENHANCEMENT INFORMATION MESSAGE IN VIDEO CODING

      
Numéro d'application CN2021118156
Numéro de publication 2022/062957
Statut Délivré - en vigueur
Date de dépôt 2021-09-14
Date de publication 2022-03-31
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Chen, Jie
  • Ye, Yan
  • Hu, Jixiang
  • Li, Kun
  • Hu, Lulu
  • Long, Yimin

Abrégé

The present disclosure provides methods, apparatus and non-transitory computer readable medium for processing video data. According to certain disclosed embodiments, a method for determining an object in a picture includes: decoding a message from a bitstream including: decoding a first list of labels; and decoding a first index, to the first list of labels, of a first label associated with the object; and determining the object based on the message.

Classes IPC  ?

  • H04N 19/136 - Caractéristiques ou propriétés du signal vidéo entrant
  • G06F 16/783 - Recherche de données caractérisée par l’utilisation de métadonnées, p.ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement utilisant des métadonnées provenant automatiquement du contenu

63.

METHOD AND APPARATUS FOR CACHE MANAGEMENT

      
Numéro d'application CN2020117791
Numéro de publication 2022/061727
Statut Délivré - en vigueur
Date de dépôt 2020-09-25
Date de publication 2022-03-31
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Li, Haoran
  • Li, Pengcheng

Abrégé

A method for cache management. The method includes predicting, based on a prediction model, eviction time offset values respectively for items stored in a cache; storing, in a queue, predicted lifetime values respectively for the items in the cache according to the eviction time offset values; and in response to an eviction operation, selecting a target item to be removed from the cache based on the predicted lifetime values in the queue.

Classes IPC  ?

  • G06F 13/00 - Interconnexion ou transfert d'information ou d'autres signaux entre mémoires, dispositifs d'entrée/sortie ou unités de traitement
  • H04N 7/173 - Systèmes à secret analogiques; Systèmes à abonnement analogiques à deux voies, p.ex. l'abonné envoyant un signal de sélection du programme

64.

SYSTEM AND METHOD FOR REGION OF INTEREST QUALITY CONTROLLABLE VIDEO CODING

      
Numéro d'application CN2020117792
Numéro de publication 2022/061728
Statut Délivré - en vigueur
Date de dépôt 2020-09-25
Date de publication 2022-03-31
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Wu, Guanlin
  • Chen, Yen-Kuang
  • Qin, Minghai
  • Wang, Zhenzhen
  • Li, Haoran
  • Fang, Yuanwei

Abrégé

The present disclosure relates to a system and method for video coding. In some embodiments, an exemplary video coding system includes: a region of interest (ROI) detector having circuitry configured to determine a plurality of regions in a frame of a video; a rate controller communicatively coupled with the ROI detector and having circuitry configured to perform bit allocation for the plurality of regions based on demanded quality information for the plurality of regions and generate region bit allocation information; and a video encoder communicatively coupled with the ROI detector and the rate controller and having circuitry configured to encode the frame based on the region bit allocation information.

Classes IPC  ?

65.

NETWORK COMMUNICATION METHOD, APPARATUS, ELECTRONIC DEVICE, AND STORAGE MEDIUM

      
Numéro d'application US2021051323
Numéro de publication 2022/066651
Statut Délivré - en vigueur
Date de dépôt 2021-09-21
Date de publication 2022-03-31
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Yu, Xiaobo
  • Liu, Dapeng
  • Bai, Changming

Abrégé

A method, an apparatus, an electronic device, and a storage medium for network communication are provided by the embodiments of the present invention. The method includes: a first network entity sending a first request message to a second network entity, wherein the first request message includes at least one piece of first network parameter type information, the first request message is used to enable the second network entity to be triggered to send a first message to a third network entity according to a preset event, the first message includes at least one portion of network parameter information corresponding to the first network parameter type information; and the first network entity receiving a first reply message returned by the second network entity in response to the first request message. Using the embodiments of the present invention, the first network entity can achieve a dynamic management of an instantiation of the third network entity. Furthermore, the first network entity can dynamically manage the authority of the third network entity to obtain network parameters, thus improving the flexibility of deployment of the third network entity.

Classes IPC  ?

  • H04W 4/02 - Services utilisant des informations de localisation

66.

THREE-DIMENSIONAL STACKED PROCESSING SYSTEMS

      
Numéro d'application CN2020115776
Numéro de publication 2022/056757
Statut Délivré - en vigueur
Date de dépôt 2020-09-17
Date de publication 2022-03-24
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Niu, Dimin
  • Han, Wei
  • Guan, Tianchan
  • Wang, Yuhao
  • Li, Shuangchen
  • Zheng, Hongzhong

Abrégé

Aspects of the present technology are directed toward three-dimensional (3D) stacked processing systems characterized by high memory capacity, high memory bandwidth, low power consumption and small form factor. The 3D stacked processing systems include a plurality of processor chiplets and input/output circuits directly coupled to each of the plurality of processor chiplets.

Classes IPC  ?

  • H01L 25/18 - Ensembles consistant en une pluralité de dispositifs à semi-conducteurs ou d'autres dispositifs à l'état solide les dispositifs étant de types prévus dans plusieurs sous-groupes différents du même groupe principal des groupes , ou dans une seule sous-classe de ,
  • H01L 23/60 - Protection contre les charges ou les décharges électrostatiques, p.ex. écrans Faraday
  • G11C 11/4074 - Circuits d'alimentation ou de génération de tension, p.ex. générateurs de tension de polarisation, générateurs de tension de substrat, alimentation de secours, circuits de commande d'alimentation
  • 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 , ou dans une seule sous-classe de , , 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 23/52 - Dispositions pour conduire le courant électrique à l'intérieur du dispositif pendant son fonctionnement, d'un composant à un autre

67.

A CONFIGURABLE PROCESSING ARCHITECTURE

      
Numéro d'application CN2020116158
Numéro de publication 2022/056828
Statut Délivré - en vigueur
Date de dépôt 2020-09-18
Date de publication 2022-03-24
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Niu, Dimin
  • Guan, Tianchan
  • Zheng, Hongzhong
  • Li, Shuangchen

Abrégé

A configurable processing unit including a core processing element and a plurality of assist processing elements can be coupled together by one or more networks. The core processing element can include a large processing logic, large non-volatile memory, input/output interfaces and multiple memory channels. The plurality of assist processing elements can each include smaller processing logic, smaller non-volatile memory and multiple memory channels. One or more bitstreams can be utilized to configure and reconfigure computation resources of the core processing element and memory management of the plurality of assist processing elements.

Classes IPC  ?

  • G06F 15/78 - Architectures de calculateurs universels à programmes enregistrés comprenant une seule unité centrale

68.

CODING SCHEDULING METHOD, SERVER AND CLIENT TERMINAL, AND SYSTEM FOR ACQUIRING REMOTE DESKTOP

      
Numéro d'application CN2021117361
Numéro de publication 2022/057718
Statut Délivré - en vigueur
Date de dépôt 2021-09-09
Date de publication 2022-03-24
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Jia, Xianghong
  • Min, Hongbo
  • Hu, Xiang

Abrégé

A coding scheduling method, a server and a client terminal, and a system for acquiring a remote desktop: performing scheduling of hardware coding resources on the basis of coding requirement information of a coding task determined by information reflecting remote desktop creation requirements; when unnecessary hardware coding resources are occupied, resources are released promptly, saving hardware coding resources; and the released hardware coding resources can be provided for other coding tasks, increasing the number of concurrent channels and improving the rate of utilisation of hardware coding resources.

Classes IPC  ?

  • H04N 21/2343 - Traitement de flux vidéo élémentaires, p.ex. raccordement de flux vidéo ou transformation de graphes de scènes MPEG-4 impliquant des opérations de reformatage de signaux vidéo pour la distribution ou la mise en conformité avec les requêtes des utilisateurs finaux ou les exigences des dispositifs des utilisateurs finaux

69.

TRUSTED VERIFICATION SYSTEM AND METHOD, MOTHERBOARD, MICRO-BOARD CARD, AND STORAGE MEDIUM

      
Numéro d'application CN2021117387
Numéro de publication 2022/057720
Statut Délivré - en vigueur
Date de dépôt 2021-09-09
Date de publication 2022-03-24
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Wang, Hui
  • Li, Zhichao
  • Chen, Jicheng
  • Huang, Zilong
  • Lyu, Tao
  • Liu, Fang
  • Wang, Zhiqian

Abrégé

Provided in the embodiments of the present application are a trusted verification system and method, a motherboard, a micro-board card, and a storage medium. According to the solution provided in the embodiments of the present application: when the system is powered on, performing trusted verification of a micro-board card on the basis of a first trusted platform control module TPCM on the micro-board card and, after verification is successful, controlling the other components in the micro-board card to disengage from a reset state and performing trusted verification on the motherboard by means of a motherboard verification component used for performing trusted verification on the motherboard.

Classes IPC  ?

  • G06F 21/57 - Certification ou préservation de plates-formes informatiques fiables, p.ex. démarrages ou arrêts sécurisés, suivis de version, contrôles de logiciel système, mises à jour sécurisées ou évaluation de vulnérabilité

70.

METHOD AND APPARATUS FOR STARTING DEVICE, ELECTRONIC DEVICE, AND COMPUTER STORAGE MEDIUM

      
Numéro d'application CN2021117923
Numéro de publication 2022/057756
Statut Délivré - en vigueur
Date de dépôt 2021-09-13
Date de publication 2022-03-24
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Liu, Fang
  • Li, Zhichao
  • Huang, Zilong
  • Lyu, Tao
  • Wang, Zhiqian

Abrégé

A method and apparatus for starting a device, an electronic device, and a computer storage medium. A BIOS of a device can read first startup configuration information in a personality configuration table in the startup stage, the first startup configuration information is compared with corresponding second startup configuration information in a management configuration table, and startup configuration information is determined according to the comparison result so as to start the device according to the determined startup configuration information.

Classes IPC  ?

71.

MODEL PROCESSING METHOD AND APPARATUS, DEVICE, AND COMPUTER-READABLE STORAGE MEDIUM

      
Numéro d'application CN2021117359
Numéro de publication 2022/052973
Statut Délivré - en vigueur
Date de dépôt 2021-09-09
Date de publication 2022-03-17
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Zhang, Jie
  • Wang, Ang
  • Jiang, Le
  • Li, Yong

Abrégé

A model processing method and apparatus, a device, and a computer-readable storage medium. The method comprises: obtaining a first computational graph corresponding to a model to be trained and a parallelization strategy of said model, the parallelization strategy of said model comprising at least one of pipeline parallelism, model parallelism, data parallelism, and operator splitting (S601); adding parallelization information in the first computational graph according to the parallelization strategy of said model to obtain a second computational graph (S602); determining a distributed computational graph according to the second computational graph and computing resources (S603); and training said model according to the distributed computational graph (S604). Multiple parallelization strategies are supported by a computational graph-based graph editing technique, so that multiple parallelization strategies can be integrated into a system, thereby realizing a distributed training framework capable of supporting multiple parallelization strategies.

Classes IPC  ?

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

72.

PROCESSING-IN-MEMORY DEVICE AND DATA PROCESSING METHOD THEREOF

      
Numéro d'application CN2020113839
Numéro de publication 2022/047802
Statut Délivré - en vigueur
Date de dépôt 2020-09-07
Date de publication 2022-03-10
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Zhang, Yawen
  • Guan, Tianchan
  • Fan, Xiaoxin
  • Wang, Yuhao
  • Zheng, Hongzhong
  • Li, Shuangchen
  • Liu, Chunsheng

Abrégé

A processing-in-memory (PIM) device includes a memory array configured to store data and a computing circuit. The computing circuit is configured to execute a set of instructions to cause the PIM device to: select between multiple computation modes, including a first and a second sorting modes, based on a configuration from a host communicatively coupled to the PIM device; access data elements in a memory array of the PIM device; and in the first or the second sorting modes, output top K data elements among the data elements to the memory array or to the host. K is an integer greater than a threshold value when the first sorting mode is selected and is an integer smaller than or equal to the threshold value when the second sorting mode is selected.

Classes IPC  ?

  • G11C 7/08 - Leur commande
  • G11C 7/00 - Dispositions pour écrire une information ou pour lire une information dans une mémoire numérique

73.

HETEROGENEOUS OPTICAL NETWORK

      
Numéro d'application CN2020110894
Numéro de publication 2022/040880
Statut Délivré - en vigueur
Date de dépôt 2020-08-24
Date de publication 2022-03-03
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Xie, Chongjin
  • Dou, Liang
  • Zhang, Huan
  • Chen, Sai

Abrégé

One embodiment described herein provides an optical add-drop multiplexer. The optical add-drop multiplexer can include a plurality of network interface modules and an optical cross connect module coupling the plurality of network interface modules. The plurality of network interface modules can include at least a first network interface module comprising a first optical component from a first vendor and a second network interface module comprising a second optical component from a second vendor. The first and second optical components have different optical parameters. One more embodiment provides an optical network that includes a plurality of interconnected optical add-drop multiplexers, including both homogeneous optical add-drop multiplexers and heterogeneous optical add-drop multiplexers. A heterogeneous optical add-drop multiplexer can include at least a first network interface module comprising a first optical component from a first vendor and a second network interface module comprising a second optical component from a second vendor.

Classes IPC  ?

  • H04J 14/02 - Systèmes multiplex à division de longueur d'onde

74.

SMART PROCEDURE ROUTING IN PARTITIONED DATABASE MANAGEMENT SYSTEMS

      
Numéro d'application CN2020112265
Numéro de publication 2022/041143
Statut Délivré - en vigueur
Date de dépôt 2020-08-28
Date de publication 2022-03-03
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Fu, Chen
  • Cai, Le
  • Li, Feifei

Abrégé

A database system may include at least one load balancing node and a plurality of computing nodes. The load balancing node may receive a distributed transaction that includes a stored procedure, and select a predictor function for the stored procedure among from a plurality of predictor functions. The load balancing node may extract one or more input parameters from the stored procedure, and determine a computing node from among the plurality of computing nodes based at least in part on the one or more input parameters using the predictor function. The load balancing node may then forward the stored procedure to the computing node for processing the stored procedure.

Classes IPC  ?

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

75.

IMAGE RECONSTRUCTION METHOD AND APPARATUS, AND COMPUTER READABLE STORAGE MEDIUM, AND PROCESSOR

      
Numéro d'application CN2021113469
Numéro de publication 2022/042413
Statut Délivré - en vigueur
Date de dépôt 2021-08-19
Date de publication 2022-03-03
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s) Sheng, Xiaojie

Abrégé

Disclosed in the present invention are an image reconstruction method and apparatus, and a computer readable storage medium, and a processor. The method comprises: upon detecting that an interaction operation occurs on an operation interface, and obtaining a target position after displacement of a virtual viewpoint occurs on the operation interface; controlling transition of the virtual viewpoint from the target position to a predetermined position, wherein the predetermined position is a camera position that coincides with the position of the virtual viewpoint in spatial degree of freedom; and processing, by using an image deformation model, an image when the virtual viewpoint is located at the predetermined position, and obtaining a reconstructed image. The present invention solves the technical problem of poor timeliness in reconstructing an image at a virtual viewpoint.

Classes IPC  ?

  • G06T 3/00 - Transformation géométrique de l'image dans le plan de l'image

76.

DATA QUERY METHOD AND APPARATUS

      
Numéro d'application CN2021111696
Numéro de publication 2022/042288
Statut Délivré - en vigueur
Date de dépôt 2021-08-10
Date de publication 2022-03-03
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Xu, Weidong
  • Wu, Xudong
  • Zhang, Jianwei
  • Wang, Chen

Abrégé

The embodiments of the present application provide a data query method and apparatus. Said method comprises: acquiring a query statement, the query statement comprising parameter information; searching for a preset template statement matching the query statement, and acquiring preprocessed information corresponding to the template statement; using the preprocessed information and the parameter information to generate a target execution statement; and using the target execution sentence to query a preset database for target data. In this way, a query statement sent by a user can be converted into a target execution statement, and the target execution statement is used to query a database for target data, so that the database can directly execute a query task without a statement parsing optimization process, thereby increasing the query efficiency of the database.

Classes IPC  ?

77.

MULTI-LEVEL REGION-OF-INTEREST QUALITY CONTROLLABLE VIDEO CODING TECHNIQUES

      
Numéro d'application CN2020110473
Numéro de publication 2022/036678
Statut Délivré - en vigueur
Date de dépôt 2020-08-21
Date de publication 2022-02-24
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Wu, Guanlin
  • Bae, Tae Meon
  • Chen, Yen-Kuang
  • Qin, Minghai
  • Li, Haoran

Abrégé

Video coding techniques can include determining one or more regions-of-interest in a plurality of levels of interest. Encoding bitrates can be determined for the regions-of-interest in each of the plurality of levels of interest. A compressed bitstream can be generated based on the regions-of-interest in the plurality of levels of interest using the corresponding encoding bitrate of the regions-of-interest.

Classes IPC  ?

  • H04N 19/167 - Position dans une image vidéo, p.ex. région d'intérêt [ROI]

78.

CONFERENCE PROCESSING METHODS AND APPARATUS

      
Numéro d'application CN2021112059
Numéro de publication 2022/037454
Statut Délivré - en vigueur
Date de dépôt 2021-08-11
Date de publication 2022-02-24
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Deng, Chong
  • Yan, Niannian
  • Bian, Chuanmeng
  • Jiang, Haitao
  • Xu, Qiuyun
  • Wang, Wen
  • Lei, Yun
  • Wang, Cong

Abrégé

Provided in embodiments of the present description are conference processing methods and an apparatus. A specific embodiment of the method comprises: receiving conference information of a conference to be scheduled from a transit servicer, the conference information being submitted by an initiator of the conference to be scheduled by means of a target window; in response to the conference information of the conference to be scheduled comprising attendee information and attendance time, and the attendee information showing a plurality of attendees, confirming whether an invited attendee among the plurality of attendees can attend the conference to be scheduled at the attendance time; and in response to an invited attendee having a time conflict being present among the plurality of attendees, performing a conference time coordination operation for the invited attendee by using an interactive means, and determining the attendance time according to the coordination result.

Classes IPC  ?

  • H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole

79.

MEMORY SMART CARD, DEVICE, NETWORK, METHOD, AND COMPUTER STORAGE MEDIUM

      
Numéro d'application CN2021112738
Numéro de publication 2022/037518
Statut Délivré - en vigueur
Date de dépôt 2021-08-16
Date de publication 2022-02-24
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Wang, Fu
  • Xu, Di

Abrégé

Embodiments of the present invention provide a memory smart card, a device, a network, a method, and a computer storage medium. The memory smart card comprises: a processing module and a memory interconnection interface; at least one memory slot is provided on the memory smart card, and is used for allowing for insertion of a memory bank; the memory interconnection interface is used for communicating with other memory smart cards, and is further used for encapsulating or decapsulating data according to a memory interconnection protocol; the processing module is used for reading data from the memory bank or writing data to the memory bank by means of the memory slot. Data transmission is performed among the memory smart cards by means of the memory interconnection interface, thereby increasing the data transmission rate, and also reducing performance overhead of a processor.

Classes IPC  ?

  • G06K 19/077 - Supports d'enregistrement avec des marques conductrices, des circuits imprimés ou des éléments de circuit à semi-conducteurs, p.ex. cartes d'identité ou cartes de crédit avec des puces à circuit intégré - Détails de structure, p.ex. montage de circuits dans le support

80.

INTRA PREDICTION METHODS IN VIDEO CODING

      
Numéro d'application CN2021113717
Numéro de publication 2022/037670
Statut Délivré - en vigueur
Date de dépôt 2021-08-20
Date de publication 2022-02-24
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Chen, Jie
  • Ye, Yan
  • Liao, Ru-Ling
  • Li, Xinwei

Abrégé

The present disclosure provides intra prediction methods for video or image coding. An exemplary method includes: performing an intra predicting process for a target block, wherein performing the intra predicting process comprises: determining an intra prediction mode for the target block; in response to the intra prediction mode is an angular mode, determining a filtered value by applying an N-tap interpolation filter to a plurality of reference samples surrounding the target block based on the angular mode, wherein N is an integer greater than 4; and determining a predicted value of a sample of the target block based on the filtered value.

Classes IPC  ?

  • H04N 19/59 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage prédictif mettant en œuvre un sous-échantillonnage spatial ou une interpolation spatiale, p.ex. modification de la taille de l’image ou de la résolution
  • H04N 19/80 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques - Détails des opérations de filtrage spécialement adaptées à la compression vidéo, p.ex. pour l'interpolation de pixels

81.

SYSTEMS AND METHODS FOR INTRA PREDICTION SMOOTHING FILTER

      
Numéro d'application CN2021113034
Numéro de publication 2022/037583
Statut Délivré - en vigueur
Date de dépôt 2021-08-17
Date de publication 2022-02-24
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Li, Xinwei
  • Chen, Jie
  • Liao, Ru-Ling
  • Ye, Yan

Abrégé

Methods, apparatus and non-transitory computer readable medium for video processing are provided. The method for video processing includes: dividing an intra prediction block into one or more sub-blocks; performing padding process for the one or more sub-blocks; and filtering the one or more sub-blocks with a parallel intra prediction smoothing (IPS) process.

Classes IPC  ?

  • H04N 19/109 - Sélection du mode de codage ou du mode de prédiction parmi plusieurs modes de codage prédictif temporel

82.

NETWORK COMMUNICATION METHOD AND APPARATUS

      
Numéro d'application US2021051340
Numéro de publication 2022/036336
Statut Délivré - en vigueur
Date de dépôt 2021-09-21
Date de publication 2022-02-17
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Yu, Xiaobo
  • Bai, Changming

Abrégé

Network communication methods and apparatuses are provided in the embodiments of the present invention. The user equipment receives an update message sent by a second network entity through a third network entity. The update message is used to update a terminal route selection policy rule. The terminal route selection policy rule includes a network identification, and the network identification is used to enable the user equipment to select a corresponding network according to an target application. The user equipment sends an update reply message for the update message to the third network entity, to cause the third network entity to send the update reply message to the second network entity. Through the embodiments of the present invention, the user equipment can determine a corresponding private network and access the network through the application, and obtain a service of a specified application, thus improving the efficiency of network services.

Classes IPC  ?

  • H04L 12/725 - Sélection d’un chemin de qualité de service [QoS] adéquate
  • H04L 12/717 - Routage centralisé
  • H04L 12/813 - Commande basée sur des règles, p.ex. en fonction de la politique d’utilisation
  • H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole
  • H04W 8/08 - Transfert de données de mobilité

83.

SHARDING FOR WORKFLOW APPLICATIONS IN SERVERLESS ARCHITECTURES

      
Numéro d'application CN2020108724
Numéro de publication 2022/032532
Statut Délivré - en vigueur
Date de dépôt 2020-08-12
Date de publication 2022-02-17
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Chang, Shuai
  • Wang, Hongqi
  • Yang, Haoran
  • Hong, Yaoting

Abrégé

Systems and methods provide a multi-version shard plan to improve horizontal scaling and load balancing across distributed shards while avoiding downtime resulting from data migration. According to serverless architectures, application hosting services providers may provision customers with distributed computing resources partitioned into shards, which may be dynamically assigned, scaled, and load-balanced for architecture-agnostic workflow applications. A versioned shard plan may be implemented at a database, storing key ranges which enable workflow application executions to be uniquely mapped to particular shards. The database controller may immutably assign a shard to each execution of a workflow application, and publish a new version of the shard plan accessible to both a frontend and a backend of the customer's hosted applications. By these solutions, in the course of horizontal scaling of computing resources assigned to workflow applications, data migration between shards is avoided and downtime may not be incurred as a result.

Classes IPC  ?

  • 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

84.

JOSEPHSON JUNCTION, JOSEPHSON JUNCTION PREPARATION METHOD AND APPARATUS, AND SUPERCONDUCTING CIRCUIT

      
Numéro d'application US2021044157
Numéro de publication 2022/031590
Statut Délivré - en vigueur
Date de dépôt 2021-08-02
Date de publication 2022-02-10
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Zhang, Xiaohang
  • Yu, Wenlong
  • Gu, Xiangsheng
  • Zhou, Jingwei

Abrégé

A superconducting circuit having a Josephson junction includes a first electrode layer for signal transmission; a second electrode layer for signal transmission; and an insulating layer arranged between the first electrode layer and the second electrode layer to form a Josephson junction, wherein, the first electrode layer and the second electrode layer are composed of a preset material, the insulating layer is composed of a compound corresponding to the preset material, and the preset material includes a non-aluminum superconducting material to prolong a coherence time of superconducting qubits.

Classes IPC  ?

  • H01L 39/02 - Dispositifs utilisant la supraconductivité ou l'hyperconductivité; Procédés ou appareils spécialement adaptés à la fabrication ou au traitement de ces dispositifs ou de leurs parties constitutives - Détails
  • G06N 10/00 - Informatique quantique, c. à d. traitement de l’information fondé sur des phénomènes de mécanique quantique
  • H01L 39/08 - Dispositifs utilisant la supraconductivité ou l'hyperconductivité; Procédés ou appareils spécialement adaptés à la fabrication ou au traitement de ces dispositifs ou de leurs parties constitutives - Détails caractérisés par la forme de l'élément
  • H01L 39/10 - Dispositifs utilisant la supraconductivité ou l'hyperconductivité; Procédés ou appareils spécialement adaptés à la fabrication ou au traitement de ces dispositifs ou de leurs parties constitutives - Détails caractérisés par les moyens de commutation
  • H01L 39/12 - Dispositifs utilisant la supraconductivité ou l'hyperconductivité; Procédés ou appareils spécialement adaptés à la fabrication ou au traitement de ces dispositifs ou de leurs parties constitutives - Détails caractérisés par le matériau

85.

IMAGE FRAME CODING METHOD, OBJECT SEARCH METHOD, COMPUTER DEVICE, AND STORAGE MEDIUM

      
Numéro d'application CN2021108842
Numéro de publication 2022/028283
Statut Délivré - en vigueur
Date de dépôt 2021-07-28
Date de publication 2022-02-10
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Huang, Xuan
  • Yang, Mingyuan
  • Ye, Yan

Abrégé

Disclosed by embodiments of the present application are an image frame coding method, an object search method, a computer device, and a storage medium. The image frame coding method comprises: dividing a target image frame into a plurality of first data blocks; splitting the plurality of first data blocks into batches and inputting said blocks into a plurality of coding units which operate in sequence; at least two coding units synchronously perform processing within a portion of time segments when the plurality of coding units are performing processing; and performing coding on the target image frame according to coding parameters respectively corresponding to the plurality of first data blocks. Compared to a manner of sequential operation using video frames as units, the present method can greatly reduce time spent on coding parameter determination, improve video coding efficiency, and also reduce data block processing delay. Due to the manner in which the plurality of coding units run in parallel allowing for resource reuse on a hardware unit, chip size can be reduced, hardware overhead can be lowered, hardware costs can be reduced, and hardware implementation is facilitated.

Classes IPC  ?

  • H04N 19/172 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage adaptatif caractérisés par l’unité de codage, c. à d. la partie structurelle ou sémantique du signal vidéo étant l’objet ou le sujet du codage adaptatif l’unité étant une zone de l'image, p.ex. un objet la zone étant une image, une trame ou un champ

86.

NOISE CONTROL IN PROCESSOR-IN-MEMORY ARCHITECTURES

      
Numéro d'application CN2020107219
Numéro de publication 2022/027371
Statut Délivré - en vigueur
Date de dépôt 2020-08-05
Date de publication 2022-02-10
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Niu, Dimin
  • Guan, Tianchan
  • Zheng, Hongzhong

Abrégé

Runtime hardware configuration based on multiple electronic noise models is provided to control electronic noise emitted by a processor-in-memory architecture which may be harvested as entropy for a random number generator. Outside of PIM runtime, one or more noise models calibrates parameters of the noise model based on runtime feedback from the PIM; a configuration solver determines a runtime hardware configuration for the PIM to satisfy per-layer randomness requirement (s) of a learning model; the configuration solver transmits the runtime hardware configuration to a noise control module; the noise control module receives real-time runtime feedback regarding the PIM; the noise control module determines, based on the real-time runtime feedback, configuration instructions of the PIM for runtime conditions to approach configuration parameters of the runtime hardware configuration; and the noise control module performs runtime hardware configuration by outputting determined configuration instructions to one or more hardware modules of the PIM.

Classes IPC  ?

  • G06F 7/58 - Générateurs de nombres aléatoires ou pseudo-aléatoires
  • G11C 11/4096 - Circuits de commande ou de gestion d'entrée/sortie [E/S, I/O] de données, p.ex. circuits pour la lecture ou l'écriture, circuits d'attaque d'entrée/sortie ou commutateurs de lignes de bits

87.

MEMORY CONTROLLER

      
Numéro d'application CN2020107550
Numéro de publication 2022/027499
Statut Délivré - en vigueur
Date de dépôt 2020-08-06
Date de publication 2022-02-10
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Niu, Dimin
  • Guan, Tianchan
  • Duan, Lide
  • Zheng, Hongzhong

Abrégé

Apparatus, method, and system provided herein are directed to prioritizing cache line writing of compressed data. The memory controller comprises a cache line compression engine that receives raw data, compresses the raw data, determines a compression rate between the raw data and the compressed data, determines whether the compression rate is greater than a predetermined rate, and outputs the compressed data as data-to-be-written if the compression rate is greater than the predetermined rate. In response to determining that the compression rate is greater than the predetermined rate, the cache line compression engine generates a compression signal indicating the data-to-be-written is the compressed data and sends the compression signal to a scheduler of a command queue in the memory controller where writing of compressed data is prioritized.

Classes IPC  ?

  • G06F 3/06 - Entrée numérique à partir de, ou sortie numérique vers des supports d'enregistrement
  • G06F 11/10 - Détection ou correction d'erreur par introduction de redondance dans la représentation des données, p.ex. en utilisant des codes de contrôle en ajoutant des chiffres binaires ou des symboles particuliers aux données exprimées suivant un code, p.ex. contrôle de parité, exclusion des 9 ou des 11

88.

SYSTEMS AND METHODS FOR BI-DIRECTIONAL PREDICTION CORRECTION

      
Numéro d'application CN2021110338
Numéro de publication 2022/028422
Statut Délivré - en vigueur
Date de dépôt 2021-08-03
Date de publication 2022-02-10
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Li, Xinwei
  • Chen, Jie
  • Liao, Ru-Ling
  • Ye, Yan

Abrégé

The present disclosure provides video decoding method. An exemplary method includes: decoding a first parameter for a coding unit from a bitstream, and determining a candidate for the coding unit based on the first parameter; determining a value of a second parameter associated with the coding unit based on a value of a second parameter associated with the candidate, wherein the second parameter indicates whether a bi-directional prediction correction is enabled; and in response to the value of the second parameter associated with the coding unit indicating the bi-directional prediction correction being enabled, performing the bi-directional prediction correction on the coding unit.

Classes IPC  ?

  • H04N 19/189 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage adaptatif caractérisés par le procédé d’adaptation, l’outil d’adaptation ou le type d’adaptation utilisés pour le codage adaptatif
  • H04N 19/44 - Décodeurs spécialement adaptés à cet effet, p.ex. décodeurs vidéo asymétriques par rapport à l’encodeur

89.

SPEAKER ROLE INFORMATION PROCESSING METHOD AND APPARATUS

      
Numéro d'application CN2021107249
Numéro de publication 2022/022321
Statut Délivré - en vigueur
Date de dépôt 2021-07-20
Date de publication 2022-02-03
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Cao, Yu
  • Zhu, Xiangning
  • Long, Zhou

Abrégé

Provided are a speaker role information processing method and apparatus, one specific embodiment of the method comprising: receiving, from a speech processing system, first prompt information for prompting a role presentation, the first prompt information comprising identity information and position information of a current speaker; according to the first prompt information, displaying role information of the current speaker on a target interface, the role information at least comprising the identity information and the position information.

Classes IPC  ?

  • G06F 3/16 - Entrée acoustique; Sortie acoustique

90.

NETWORK RECONNECTION METHOD, AND DEVICE, SYSTEM AND STORAGE MEDIUM

      
Numéro d'application CN2021108351
Numéro de publication 2022/022440
Statut Délivré - en vigueur
Date de dépôt 2021-07-26
Date de publication 2022-02-03
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Zhu, Song
  • Zhang, Dajiang
  • Huang, Ruirui
  • Bai, Changming

Abrégé

Provided are a network reconnection method, and a device, a system and a storage medium. In the embodiments of the present application, a network element in a mobile network and a central management and control node cooperate with each other to realize the change in an edge cloud node and the migration of an edge cloud service, and a session connection between a user terminal and the changed edge cloud node is established by means of the network element in the mobile network. In this way, a changed edge cloud node can continue to provide a service for a user terminal, such that the probability of service interruption can be reduced or the quality of service can be prevented from deteriorating, thereby facilitating an improvement in the quality of service of a network system.

Classes IPC  ?

  • H04L 29/08 - Procédure de commande de la transmission, p.ex. procédure de commande du niveau de la liaison
  • H04W 76/18 - Gestion du rejet ou de l'échec de l'établissement
  • H04W 76/19 - Rétablissement de connexion

91.

VIDEO PROCESSING METHOD, APPARATUS, ELECTRONIC DEVICE, AND STORAGE MEDIUM

      
Numéro d'application CN2021108640
Numéro de publication 2022/022501
Statut Délivré - en vigueur
Date de dépôt 2021-07-27
Date de publication 2022-02-03
Propriétaire
  • ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
  • PEKING UNIVERSITY SHENZHEN GRADUATE SCHOOL (Chine)
Inventeur(s)
  • Wang, Ronggang
  • Cai, Yangang
  • Gu, Song
  • Sheng, Xiaojie

Abrégé

A video processing method, an apparatus, an electronic device, and a storage medium, wherein the video processing method comprises: stitching frame-synchronized multi-viewpoint texture maps into a texture map stitched image; stitching depth maps corresponding to the frame-synchronized multi-viewpoint texture maps into a depth map stitched image; separately coding the texture map stitched image and the depth map stitched image, and obtaining a corresponding texture map compressed image and depth map compressed image. The described solution is able to lower the requirement on the decoding capability of a decoding end, and reduces compression loss.

Classes IPC  ?

  • H04N 19/597 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage prédictif spécialement adapté pour l’encodage de séquences vidéo multi-vues
  • H04N 13/00 - Systèmes vidéo stéréoscopiques; Systèmes vidéo multi-vues; Leurs détails

92.

FREE VIEWPOINT VIDEO RECONSTRUCTION AND PLAYING PROCESSING METHOD, DEVICE, AND STORAGE MEDIUM

      
Numéro d'application CN2021108827
Numéro de publication 2022/022548
Statut Délivré - en vigueur
Date de dépôt 2021-07-28
Date de publication 2022-02-03
Propriétaire
  • ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
  • PEKING UNIVERSITY SHENZHEN GRADUATE SCHOOL (Chine)
Inventeur(s)
  • Wang, Ronggang
  • Cai, Yangang
  • Gu, Song
  • Sheng, Xiaojie

Abrégé

Free viewpoint video reconstruction and playing processing methods, a device, and a storage medium. The video reconstruction method comprises: acquiring a free viewpoint video frame, wherein the video frame comprises synchronous original texture images of a plurality of original viewpoints, and original depth images of the corresponding viewpoints; acquiring a target video frame corresponding to a virtual viewpoint; using original texture images of the plurality of original viewpoints and corresponding original depth images in the target video frame to synthesize a texture image of the virtual viewpoint; acquiring background texture images and background depth images of the corresponding viewpoints in the target video frame, and acquiring a background texture image of the virtual viewpoint according to the background texture images and the background depth images of the corresponding viewpoints; and using the background texture image of the virtual viewpoint to perform hole filling on a hole region in the texture image of the virtual viewpoint, and then performing processing to obtain a reconstructed image of the virtual viewpoint. By means of the scheme, the hole filling quality can be improved, thereby improving the image quality of a free viewpoint video.

Classes IPC  ?

  • H04N 13/117 - Transformation de signaux d’images correspondant à des points de vue virtuels, p.ex. interpolation spatiale de l’image les positions des points de vue virtuels étant choisies par les spectateurs ou déterminées par suivi du spectateur
  • H04N 13/111 - Transformation de signaux d’images correspondant à des points de vue virtuels, p.ex. interpolation spatiale de l’image
  • H04N 13/106 - Traitement de signaux d’images

93.

VIDEO COMPRESSION METHOD AND APPARATUS, VIDEO DECOMPRESSION METHOD AND APPARATUS, ELECTRONIC DEVICE, AND STORAGE MEDIUM

      
Numéro d'application CN2021107507
Numéro de publication 2022/022348
Statut Délivré - en vigueur
Date de dépôt 2021-07-21
Date de publication 2022-02-03
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s) Sheng, Xiaojie

Abrégé

A video compression method and apparatus, a video decompression method and apparatus, an electronic device, and a storage medium. The video compression method comprises: obtaining a free viewpoint video frame, the video frame comprising a stitched image formed by synchronized texture maps of multiple viewpoints and depth maps of the corresponding viewpoints; identifying a texture map region and a depth map region in the stitched image; and coding the texture map region by using a preset first coding mode and coding the depth map region by using a preset second coding mode to obtain a compressed video frame, wherein the second coding mode is a region of interest-based coding mode. The solution can reduce compression loss of an image, and then can improve the image quality of a free viewpoint video.

Classes IPC  ?

  • H04N 13/271 - Générateurs de signaux d’images où les signaux d’images générés comprennent des cartes de profondeur ou de disparité

94.

LIVE STREAMING METHOD AND APPARATUS, AND ELECTRONIC DEVICE

      
Numéro d'application CN2021107766
Numéro de publication 2022/022370
Statut Délivré - en vigueur
Date de dépôt 2021-07-22
Date de publication 2022-02-03
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Zhao, Wenqian
  • Huang, Fei
  • Liu, Yanyi
  • Xu, Yong
  • Liu, Fu

Abrégé

The embodiments of the present application disclose a live streaming method and apparatus, and an electronic device. Said method comprises: a first server receiving a request for creating multi-language live streaming submitted by a first client; after the multi-language live streaming is successfully created, obtaining, according to a source live stream acquired by the first client, a translated target live stream corresponding to at least one target language; and after a request for pulling the live stream submitted by a second client is received, determining a target language required by a user associated with the second client, and providing the target live stream corresponding to the target language to the second client for playback. By means of the embodiments of the present application, live streaming techniques can be better applied in systems such as a cross-border commodity object information service system.

Classes IPC  ?

95.

NETWORK DATA PROCESSING SYSTEM AND METHOD, NETWORK ELEMENT DEVICE AND SERVER

      
Numéro d'application CN2021108056
Numéro de publication 2022/022404
Statut Délivré - en vigueur
Date de dépôt 2021-07-23
Date de publication 2022-02-03
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s) Su, Wenqiang

Abrégé

An embodiment of the present application provides a network data processing system and method, a network element device, and a server. Said system comprises: a first network element device, configured to send first data to a second network element device, replicate the first data to obtain second data, and send the second data to a target server; and the target server, configured to execute a corresponding network traffic monitoring task according to the received second data. According to the technical solution provided in the embodiments of the present application, in cases where there is no need to connect a plurality of complex auxiliary devices, such as an optical splitter and a shunting switch, to a network interface, the first network element device can directly complete the replication operation of data traffic, and then send the replicated data traffic to the target server for executing a monitoring task. The network data processing system of the present solution has a simple structure, low costs and high construction efficiency.

Classes IPC  ?

  • H04L 12/26 - Dispositions de surveillance; Dispositions de test

96.

USER GROUP INTERACTION METHOD AND APPARATUS, AND ELECTRONIC DEVICE

      
Numéro d'application CN2021108352
Numéro de publication 2022/022441
Statut Délivré - en vigueur
Date de dépôt 2021-07-26
Date de publication 2022-02-03
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s) Liang, Jiawen

Abrégé

Disclosed in the embodiments of the present application are a user group interaction method and apparatus, and an electronic device. The method comprises: providing an operation option for creating a subgroup to a target group; after a request for creating a subgroup is received by means of the operation option, creating a subgroup, and establishing the association relationship between the subgroup and the target group; after the subgroup is created, providing a label option for the subgroup in an interaction window associated with the target group; and after a switching operation request is received by means of the label option of the subgroup, switching to the subgroup for group interaction. By means of the embodiments of the present application, the problem of excessive difficulty in management or search caused by the excessive number of groups in a conversion list can be avoided, thereby improving the flexibility and convenience of group information interaction.

Classes IPC  ?

  • H04L 12/18 - Dispositions pour la fourniture de services particuliers aux abonnés pour la diffusion ou les conférences
  • H04L 12/58 - Systèmes de commutation de messages

97.

DATA PROCESSING METHOD AND APPARATUS, AND INTELLIGENT NETWORK CARD AND SERVER

      
Numéro d'application CN2021108353
Numéro de publication 2022/022442
Statut Délivré - en vigueur
Date de dépôt 2021-07-26
Date de publication 2022-02-03
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Dong, Yijian
  • Li, Jintao
  • Wang, Baosheng

Abrégé

A data processing method and apparatus, and an intelligent network card and a server. On the basis of the method, before upgrading an auxiliary processor, a process corresponding to a dynamic area in the auxiliary processor can be preset in a memory of a load device connected to the auxiliary processor; during the specific upgrading of the auxiliary processor, a dynamic area to be upgraded in the auxiliary processor can first be determined to be a target dynamic area, target data which is input into the target dynamic area is determined, and a transmission path of the target data is then modified from originally pointing to the target dynamic area to pointing to a target process corresponding to the target dynamic area, such that during the upgrading process, the processing of the target data can be continued by means of calling the target process; and after the transmission path of the target data is modified in this manner, the target dynamic area is upgraded, such that the upgrading process of the auxiliary processor does not affect the data processing of the target data on the auxiliary processor, thereby ensuring the stability of the data processing on the auxiliary processor.

Classes IPC  ?

98.

CONTENT PROVISION METHOD AND APPARATUS, CONTENT DISPLAY METHOD AND APPARATUS, AND ELECTRONIC DEVICE AND STORAGE MEDIUM

      
Numéro d'application CN2021108554
Numéro de publication 2022/022485
Statut Délivré - en vigueur
Date de dépôt 2021-07-27
Date de publication 2022-02-03
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Xia, Chenxi
  • Lu, Hai
  • Lin, Juying

Abrégé

Provided are a content provision method and apparatus, a content display method and apparatus, and an electronic device and a storage medium. The content display method can comprise: acquiring target content, the target content matching a target behavior of a subject in a target video; and in response to the target behavior, displaying the target content in an associated manner in a display interface of the target video.

Classes IPC  ?

99.

METHODS AND SYSTEMS FOR PREDICTION FROM MULTIPLE CROSS-COMPONENTS

      
Numéro d'application CN2021109408
Numéro de publication 2022/022655
Statut Délivré - en vigueur
Date de dépôt 2021-07-29
Date de publication 2022-02-03
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Chen, Jie
  • Liao, Ru-Ling
  • Ye, Yan
  • Li, Xinwei

Abrégé

The present disclosure provides methods, apparatus and non-transitory computer readable medium for processing video data. According to certain disclosed embodiments, a method includes: determining a set of parameters from a plurality of sets of parameters wherein the set of parameters includes a scaling factor; determining a predicted sample value of a first chroma component based on the set of the parameters, a reconstructed sample value of a luma component and a reconstructed sample value of a second chroma component; and signaling an index associated with the set of parameters in a bitstream.

Classes IPC  ?

  • H04N 19/176 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage adaptatif caractérisés par l’unité de codage, c. à d. la partie structurelle ou sémantique du signal vidéo étant l’objet ou le sujet du codage adaptatif l’unité étant une zone de l'image, p.ex. un objet la zone étant un bloc, p.ex. un macrobloc
  • H04N 19/14 - Complexité de l’unité de codage, p.ex. activité ou estimation de présence de contours

100.

QUANTUM CHIP PREPARATION METHOD, APPARATUS, AND DEVICE AND QUANTUM CHIP

      
Numéro d'application US2021042553
Numéro de publication 2022/020454
Statut Délivré - en vigueur
Date de dépôt 2021-07-21
Date de publication 2022-01-27
Propriétaire ALIBABA GROUP HOLDING LIMITED (Îles Caïmanes)
Inventeur(s)
  • Yu, Wenlong
  • Sun, Hantao
  • Wang, Tenghui

Abrégé

Methods, apparatuses, and devices for quantum chip preparation include acquiring a coplanar waveguide in a quantum chip; and establishing a connecting bridge on the coplanar waveguide using a bonding machine, wherein the connecting bridge is configured to connect a first reference ground and a second reference ground located on two sides of the coplanar waveguide to change tire chip electromagnetic resonance frequency. A quantum chip includes a transmission line configured tor signal transmission; and a resonant cavity coupled to the transmission line and configured to regulate an operating state of qubits on the quantum chip, wherein the transmission line and the resonant cavity are both composed of a coplanar waveguide, the coplanar waveguide is provided with a connecting bridge, and the connecting bridge is configured to connect a first reference ground and a second reference ground on two sides of the coplanar waveguide to change the chip electromagnetic resonance frequency.

Classes IPC  ?

  • G06N 10/00 - Informatique quantique, c. à d. traitement de l’information fondé sur des phénomènes de mécanique quantique
  • B82Y 10/00 - Nanotechnologie pour le traitement, le stockage ou la transmission d’informations, p.ex. calcul quantique ou logique à un électron
  • H01P 3/00 - Guides d'ondes; Lignes de transmission du type guide d'ondes
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