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Extract from the Register of European Patents

EP About this file: EP4172824

EP4172824 - AUTOMATED MACHINE LEARNING: A UNIFIED, CUSTOMIZABLE, AND EXTENSIBLE SYSTEM [Right-click to bookmark this link]
StatusRequest for examination was made
Status updated on  31.03.2023
Database last updated on 05.07.2024
FormerThe international publication has been made
Status updated on  31.12.2021
Most recent event   Tooltip02.07.2024New entry: Renewal fee paid 
Applicant(s)For all designated states
Hitachi Vantara LLC
2535 Augustine Drive
Santa Clara, CA 95054 / US
[2023/18]
Inventor(s)01 / ZHANG, Yongqiang
Santa Clara, CA 95054 / US
02 / LIN, Wei
Santa Clara, CA 95054 / US
03 / SCHMARZO, William
Santa Clara, CA 95054 / US
 [2023/18]
Representative(s)MERH-IP Matias Erny Reichl Hoffmann Patentanwälte PartG mbB
Paul-Heyse-Strasse 29
80336 München / DE
[2023/18]
Application number, filing date20941904.325.06.2020
[2023/18]
WO2020US39647
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report
No.:WO2021262179
Date:30.12.2021
Language:EN
[2021/52]
Type: A1 Application with search report 
No.:EP4172824
Date:03.05.2023
Language:EN
The application published by WIPO in one of the EPO official languages on 30.12.2021 takes the place of the publication of the European patent application.
[2023/18]
Search report(s)International search report - published on:US30.12.2021
(Supplementary) European search report - dispatched on:EP05.03.2024
ClassificationIPC:G06N20/00, G06F21/56, G06N99/00, G06N3/0985, G06N5/01
[2024/14]
CPC:
G06N20/00 (EP); G06N5/022 (US); G06N3/0985 (EP);
G06N5/01 (EP); G06N5/027 (US)
Former IPC [2023/18]G06F21/56, G06N99/00
Designated contracting statesAL,   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 [2023/18]
TitleGerman:AUTOMATISIERTES MASCHINENLERNEN: EINHEITLICHES, ANPASSBARES UND ERWEITERBARES SYSTEM[2023/18]
English:AUTOMATED MACHINE LEARNING: A UNIFIED, CUSTOMIZABLE, AND EXTENSIBLE SYSTEM[2023/18]
French:APPRENTISSAGE MACHINE AUTOMATISÉ: SYSTÈME UNIFIÉ, PERSONNALISABLE ET EXTENSIBLE[2023/18]
Entry into regional phase25.01.2023National basic fee paid 
25.01.2023Search fee paid 
25.01.2023Designation fee(s) paid 
25.01.2023Examination fee paid 
Examination procedure25.01.2023Examination requested  [2023/18]
Fees paidRenewal fee
30.12.2022Renewal fee patent year 03
27.06.2023Renewal fee patent year 04
01.07.2024Renewal fee patent year 05
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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[A]US2019095756  (AGRAWAL SANDEEP [US], et al) [A] 1-15* paragraph [0066] - paragraph [0165]; figures 1-6 *;
 [I]  - Dong Xuanyi ET AL, "AutoHAS: Differentiable Hyper-parameter and Architecture Search", (20200605), URL: https://arxiv.org/pdf/2006.03656v1.pdf, (20240214), XP093131389 [I] 1-15 * the whole document *
International search[A]US2016063209  (MALAVIYA SANJAY [CA]) [A] 1-15 * entire document *;
 [A]US2016110657  (GIBIANSKY MAXSIM [US], et al) [A] 1-15 * entire document *;
 [A]US2016203318  (AVASARALA BHARGAV R [US], et al) [A] 1-15* entire document *;
 [A]US2016358099  (STURLAUGSON LIESSMAN E [US], et al) [A] 1-15 * entire document *;
 [A]  - Swearingen Thomas; Drevo Will; Cyphers Bennett; Cuesta-Infante Alfredo; Ross Arun; Veeramachaneni Kalyan, "ATM: A distributed, collaborative, scalable system for automated machine learning", 2017 IEEE International Conference on Big Data (Big Data), (20171211), doi:10.1109/BigData.2017.8257923, pages 151 - 162, XP033298236 [A] 1-15 * entire document *

DOI:   http://dx.doi.org/10.1109/BigData.2017.8257923
 [A]  - Feurer Matthias, Klein Aaron, Jost Katharina Eggensperger, Springenberg Tobias, Blum Manuel, Hutter Frank, "Efficient and Robust Automated Machine Learning", Proceedings of the 28th International Conference on Neural Information Processing Systems (NIPS'15, figshare, doi:10.6084/m9.figshare.3824103.v2, (20160913), Proceedings of the 28th International Conference on Neural Information Processing Systems (NIPS'15, URL: https://papers.nips.cc/paper/2015/file/11d0e6287202fced83f79975ec59a3a6-Paper.pdf, (20210914), XP055840701 [A] 1-15 * entire document *

DOI:   http://dx.doi.org/10.6084/m9.figshare.3824103.v2
The EPO accepts no responsibility for the accuracy of data originating from other authorities; in particular, it does not guarantee that it is complete, up to date or fit for specific purposes.