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EP4360007
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EP About this file: EP4360007
| EP4360007 - METHODS AND APPARATUS TO PERFORM MACHINE-LEARNING MODEL OPERATIONS ON SPARSE ACCELERATORS [Right-click to bookmark this link] | Status | Request for examination was made Status updated on 29.03.2024 Database last updated on 15.06.2024 | |
| Former | The international publication has been made Status updated on 30.12.2022 | Most recent event Tooltip | 29.03.2024 | Publication in section I.1 EP Bulletin | published on 01.05.2024 [2024/18] | 29.03.2024 | Request for examination filed | published on 01.05.2024 [2024/18] | Applicant(s) | For all designated states Intel Corporation 2200 Mission College Boulevard Santa Clara, CA 95054 / US | [2024/18] | Inventor(s) | 01 /
POWER, Martin Dublin, D20 V024 / IE | 02 /
BRADY, Kevin Newry, BT342GB / GB | 03 /
HANRAHAN, Niall Galway, G x IRL / IE | 04 /
GRYMEL, Martin-Thomas Leixlip, Co. Kildare, W23 VP97 / IE | 05 /
BERNARD, David Leixlip / IE | 06 /
BAUGH, Gary Bray, A98 PN24 / IE | [2024/18] | Representative(s) | Maiwald GmbH Engineering Elisenhof Elisenstrasse 3 80335 München / DE | [2024/18] | Application number, filing date | 22828933.6 | 23.03.2022 | [2024/18] | WO2022US21590 | Priority number, date | US202117357924 | 24.06.2021 Original published format: US202117357924 | [2024/18] | Filing language | EN | Procedural language | EN | Publication | Type: | A1 Application with search report | No.: | WO2022271235 | Date: | 29.12.2022 | Language: | EN | [2022/52] | Type: | A1 Application with search report | No.: | EP4360007 | Date: | 01.05.2024 | Language: | EN | The application published by WIPO in one of the EPO official languages on 29.12.2022 takes the place of the publication of the European patent application. | [2024/18] | Search report(s) | International search report - published on: | KR | 29.12.2022 | Classification | IPC: | G06N3/08, G06N3/063 | [2024/18] | CPC: |
G06N3/063 (EP,US);
G06N3/08 (US);
G06N3/045 (EP)
| 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 [2024/18] | Extension states | BA | Not yet paid | ME | Not yet paid | Validation states | KH | Not yet paid | MA | Not yet paid | MD | Not yet paid | TN | Not yet paid | Title | German: | VERFAHREN UND VORRICHTUNG ZUR DURCHFÜHRUNG VON MASCHINENLERNMODELLOPERATIONEN AN DÜNNBESETZTEN BESCHLEUNIGERN | [2024/18] | English: | METHODS AND APPARATUS TO PERFORM MACHINE-LEARNING MODEL OPERATIONS ON SPARSE ACCELERATORS | [2024/18] | French: | PROCÉDÉS ET APPAREIL SERVANT À EFFECTUER DES OPÉRATIONS DE MODÈLE D'APPRENTISSAGE AUTOMATIQUE SUR DES ACCÉLÉRATEURS RARES | [2024/18] | Entry into regional phase | 07.09.2023 | National basic fee paid | 07.09.2023 | Search fee paid | 07.09.2023 | Designation fee(s) paid | 07.09.2023 | Examination fee paid | Examination procedure | 07.09.2023 | Amendment by applicant (claims and/or description) | 07.09.2023 | Examination requested [2024/18] | Fees paid | Renewal fee | 11.01.2024 | Renewal fee patent year 03 |
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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. | Cited in | International search | [A]CN111626410 (INST SEMICONDUCTORS CAS, et al) [A] 1-21 * claim 1 *; | [A]US10860922 (DALLY WILLIAM J [US], et al) [A] 1-21 * column 6, line 49 - column 7, line 10 *; | [A]US2021004668 (MOSHOVOS ANDREAS [CA], et al) [A] 1-21 * paragraphs [0051]-[0052] *; | [PX]US2021319317 (POWER MARTIN [IE], et al) [PX] 1-21 * The whole document ** The above document is a publication of the earlier application whose priority has been claimed in this international application. *; | [Y] - You Weijie; Wu Chang, "RSNN: A Software/Hardware Co-Optimized Framework for Sparse Convolutional Neural Networks on FPGAs", IEEE Access, USA , (20201224), vol. 9, doi:10.1109/ACCESS.2020.3047144, pages 949 - 960, XP011829857 [Y] 2-7,9-14,16-21 DOI: http://dx.doi.org/10.1109/ACCESS.2020.3047144 | [Y] - Liu Xiao, Li Wenbin, Huo Jing, Yao Lili, Gao Yang, "Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio", Proceedings of the AAAI Conference on Artificial Intelligence, (20200101), vol. 34, no. 4, doi:10.1609/aaai.v34i04.5927, ISSN 2159-5399, pages 4900 - 4907, XP093016410 [Y] 2-7,9-14,16-21 * page 4902; and figure 2 * DOI: http://dx.doi.org/10.1609/aaai.v34i04.5927 |