EP4209972 - AI MODEL TRAINING METHOD AND APPARATUS, AND COMPUTING DEVICE AND STORAGE MEDIUM [Right-click to bookmark this link] | Status | Request for examination was made Status updated on 09.06.2023 Database last updated on 15.01.2025 | |
Former | The international publication has been made Status updated on 11.03.2022 | Most recent event Tooltip | 01.10.2024 | New entry: Renewal fee paid | Applicant(s) | For all designated states Huawei Cloud Computing Technologies Co., Ltd. Huawei Cloud Data Center Jiaoxinggong Road Qianzhong Avenue Gui'an New District Guizhou 550025 / CN | [2023/28] | Inventor(s) | 01 /
ZHU, Jiangcheng Shenzhen, Guangdong 518129 / CN | 02 /
HUANG, Zhesi Shenzhen, Guangdong 518129 / CN | 03 /
WU, Renke Shenzhen, Guangdong 518129 / CN | 04 /
BAI, Xiaolong Shenzhen, Guangdong 518129 / CN | 05 /
YANG, Bingbing Shenzhen, Guangdong 518129 / CN | 06 /
LI, Yi Shenzhen, Guangdong 518129 / CN | 07 /
ZHONG, Jinghua Shenzhen, Guangdong 518129 / CN | 08 /
DAI, Zonghong Shenzhen, Guangdong 518129 / CN | [2023/28] | Representative(s) | Gill Jennings & Every LLP The Broadgate Tower 20 Primrose Street London EC2A 2ES / GB | [N/P] |
Former [2023/28] | Huawei European IPR Huawei Technologies Duesseldorf GmbH Riesstraße 25 80992 München / DE | Application number, filing date | 21863621.5 | 01.09.2021 | [2023/28] | WO2021CN115881 | Priority number, date | CN202010926721 | 07.09.2020 Original published format: CN202010926721 | CN20201153283 | 29.09.2020 Original published format: CN202011053283 | [2023/28] | Filing language | ZH | Procedural language | EN | Publication | Type: | A1 Application with search report | No.: | WO2022048557 | Date: | 10.03.2022 | Language: | ZH | [2022/10] | Type: | A1 Application with search report | No.: | EP4209972 | Date: | 12.07.2023 | Language: | EN | [2023/28] | Search report(s) | International search report - published on: | CN | 10.03.2022 | (Supplementary) European search report - dispatched on: | EP | 01.02.2024 | Classification | IPC: | G06N20/00, G06N3/098, G06F9/48, G06F9/50 | [2024/10] | CPC: |
G06F9/5027 (EP,CN);
G06N20/00 (EP,CN,US);
G06F9/48 (EP);
G06F9/4843 (EP,CN);
G06F9/50 (EP);
G06F9/5011 (EP,CN);
G06F9/5061 (EP);
G06N3/098 (EP);
G06F2209/5011 (EP,CN);
G06F9/45558 (CN)
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Former IPC [2023/28] | G06N20/00 | Designated contracting states | AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LI, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR [2023/28] | Title | German: | KI-MODELLTRAININGSVERFAHREN UND -VORRICHTUNG SOWIE COMPUTERVORRICHTUNG UND SPEICHERMEDIUM | [2023/28] | English: | AI MODEL TRAINING METHOD AND APPARATUS, AND COMPUTING DEVICE AND STORAGE MEDIUM | [2023/28] | French: | PROCÉDÉ ET APPAREIL D'APPRENTISSAGE DE MODÈLE D'IA, DISPOSITIF INFORMATIQUE ET SUPPORT DE STOCKAGE | [2023/28] | Entry into regional phase | 02.04.2023 | Translation filed | 02.04.2023 | National basic fee paid | 02.04.2023 | Search fee paid | 02.04.2023 | Designation fee(s) paid | 02.04.2023 | Examination fee paid | Examination procedure | 02.04.2023 | Examination requested [2023/28] | 19.08.2024 | Amendment by applicant (claims and/or description) | 19.08.2024 | Date on which the examining division has become responsible | Fees paid | Renewal fee | 02.10.2023 | Renewal fee patent year 03 | 30.09.2024 | Renewal fee patent year 04 |
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Responsibility for the accuracy, completeness or quality of the data displayed under the link provided lies entirely with the Unified Patent Court. | Documents cited: | Search | [I] - ZHANG HAIKUO ET AL, "Artificial Intelligence Platform for Mobile Service Computing", JOURNAL OF SIGNAL PROCESSING SYSTEMS, SPRINGER, US, vol. 91, no. 10, doi:10.1007/S11265-019-1438-3, ISSN 1939-8018, (20190206), pages 1179 - 1189, (20190206), XP036889253 [I] 1-15 * abstract; sections 1, 3, 4, 4.1, 4.2, 5, 6, 6.1.1;; figures 1, 2, 4 * DOI: http://dx.doi.org/10.1007/s11265-019-1438-3 | [A] - LEE CHUN-HSIANG ET AL, "Multi-Tenant Machine Learning Platform Based on Kubernetes", PROCEEDINGS OF THE 2020 6TH INTERNATIONAL CONFERENCE ON COMPUTING AND ARTIFICIAL INTELLIGENCE, New York, NY, USA, doi:10.1145/3404555.3404565, ISBN 978-1-4503-7708-9, (20200423), pages 5 - 12, URL: https://dl.acm.org/doi/pdf/10.1145/3404555.3404565, (20240122), XP055925872 [A] 1-15 * abstract, sections 2, 3, 4;; figures 1, 2, 4, 6 * DOI: http://dx.doi.org/10.1145/3404555.3404565 | [A] - VAIBHAV SAXENA ET AL, "Effective Elastic Scaling of Deep Learning Workloads", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, (20200624), XP081706438 [A] 1-15 * abstract; sections II, III, IV;; figure 1 * |