WO2023104200 - SYSTEMS, APPARATUSES, METHODS, AND NON-TRANSITORY COMPUTER-READABLE STORAGE DEVICES FOR ARTIFICIAL-INTELLIGENCE MODEL TRAINING USING HYBRID SHUFFLING OF TRAINING DATA

National phase entry is expected:
Publication Number WO/2023/104200
Publication Date 15.06.2023
International Application No. PCT/CN2022/138090
International Filing Date 09.12.2022
Title **
[English] SYSTEMS, APPARATUSES, METHODS, AND NON-TRANSITORY COMPUTER-READABLE STORAGE DEVICES FOR ARTIFICIAL-INTELLIGENCE MODEL TRAINING USING HYBRID SHUFFLING OF TRAINING DATA
[French] SYSTÈMES, APPAREILS, PROCÉDÉS ET DISPOSITIFS DE STOCKAGE NON TRANSITOIRES LISIBLES PAR ORDINATEUR POUR FORMATION DE MODÈLE D'INTELLIGENCE ARTIFICIELLE À L'AIDE D'UN RÉARRANGEMENT HYBRIDE DE DONNÉES DE FORMATION
Applicants **
HUAWEI TECHNOLOGIES CO., LTD. Huawei Administration Building, Bantian Longgang District Shenzhen, Guangdong 518129, CN
Inventors
GROSMAN, Robin Dawn 74 Trail Ridge Lane Markham, Ontario L6C 2C1, CA
LEE, Jesse Ka-Leung 61 Goldenwood Gres Ottawa, Ontario L6E 1Z2, CA
CHEN, Tom Ching Ling 33 Drakefield Road Markham, Ontario L3P 1G8, CA
SUN, Wei 501 Yonge St., Unit 4107 Toronto, Ontario M4Y 1Y4, CA
Priority Data
63/288,305   10.12.2021   US
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Quotation for National Phase entry

Country StagesTotal
China Filing1247
EPO Filing, Examination8190
Japan Filing589
South Korea Filing575
USA Filing, Examination2710
MasterCard Visa

Total: 13311

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

Abstract[English] A method has the steps of: selecting a subset of one or more datasets, transmitting the selected subset of the one or more datasets or identifiers thereof to a redistribution list, receiving one or more redistributed datasets from the redistribution list, updating the one or more datasets based on the one or more redistributed datasets, and training an artificial-intelligence model using the one or more datasets.[French] Un procédé comprend les étapes consistant : à sélectionner un sous-ensemble d'un ou de plusieurs ensembles de données, à transmettre le sous-ensemble sélectionné du ou des ensembles de données ou des identifiants de ces derniers à une liste de redistribution, à recevoir un ou plusieurs ensembles de données redistribués en provenance de la liste de redistribution, à mettre à jour le ou les ensembles de données sur la base du ou des ensembles de données redistribués, et à former un modèle d'intelligence artificielle (IA) à l'aide du ou des ensembles de données.
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