WO2025060349 - METHODS, DEVICES, AND COMPUTER READABLE MEDIUM FOR ARTIFICIAL INTELLIGENCE (AI) SERVICE

National phase entry is expected:
Publication Number WO/2025/060349
Publication Date 27.03.2025
International Application No. PCT/CN2024/079000
International Filing Date 28.02.2024
Title **
[English] METHODS, DEVICES, AND COMPUTER READABLE MEDIUM FOR ARTIFICIAL INTELLIGENCE (AI) SERVICE
[French] PROCÉDÉS, DISPOSITIFS ET SUPPORT LISIBLE PAR ORDINATEUR POUR SERVICE D'INTELLIGENCE ARTIFICIELLE (IA)
Applicants **
HUAWEI TECHNOLOGIES CO., LTD.
Inventors
TANG, Hao
MA, Jianglei
ZHU, Peiying
TONG, Wen
Priority Data
63/584,067   20.09.2023   US
Application details
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Quotation for National Phase entry

Country StagesTotal
China Filing, Examination, Granting3051
EPO Filing, Examination, Granting32914
Japan Filing, Examination, Granting3295
South Korea Filing, Examination, Granting4583
USA Filing, Examination, Granting13540
MasterCard Visa
Total: 57,383

The term for entry into the National Phase has expired. This quotation is for informational purposes only

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Abstract[English] A method relates to artificial intelligence (AI) service. In the method, a first device receives indication information on monitoring or updating of one or more sub-models of an artificial intelligence/machine learning (AI/ML) model. Based on the indication information, the first device performs the monitoring or the updating of the one or more sub-models. In this way, distributed monitor and update by multiple devices are enabled, and each device may monitor or update partial of the AI model, to improve monitor or update efficiency.[French] Un procédé concerne un service d'intelligence artificielle (IA). Dans le procédé, un premier dispositif reçoit des informations d'indication sur la surveillance ou la mise à jour d'un ou de plusieurs sous-modèles d'un modèle d'intelligence artificielle/apprentissage automatique (IA/ML). Sur la base des informations d'indication, le premier dispositif effectue la surveillance ou la mise à jour du ou des sous-modèles. De cette manière, un moniteur distribué et une mise à jour par de multiples dispositifs sont activés, et chaque dispositif peut surveiller ou mettre à jour une partie du modèle d'IA, pour améliorer l'efficacité de surveillance ou de mise à jour.