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Extract from the Register of European Patents

EP About this file: EP3649582

EP3649582 - SYSTEM AND METHOD FOR AUTOMATIC BUILDING OF LEARNING MACHINES USING LEARNING MACHINES [Right-click to bookmark this link]
StatusExamination is in progress
Status updated on  16.02.2024
Database last updated on 07.10.2024
FormerRequest for examination was made
Status updated on  10.04.2020
FormerThe international publication has been made
Status updated on  12.01.2019
Most recent event   Tooltip18.06.2024New entry: Reply to examination report 
Applicant(s)For all designated states
Darwinai Corporation
117 Shaughnessy Place
Waterloo, Ontario N2T 1C8 / CA
[2020/20]
Inventor(s)01 / WONG, Alexander Sheung Lai
117 Shaughnessy Place
Waterloo Ontario N2T 1C8 / CA
02 / SHAFIEE, Mohammad Javad
117 Shaughnessy Place
Waterloo Ontario N2T 1C8 / CA
03 / LI, Francis
117 Shaughnessy Place
Waterloo Ontario N2T 1C8 / CA
 [2020/20]
Representative(s)Rooney, John-Paul
Withers & Rogers LLP
2 London Bridge
London SE1 9RA / GB
[N/P]
Former [2020/20]Hanna Moore + Curley
Garryard House
25/26 Earlsfort Terrace
Dublin 2, D02 PX51 / IE
Application number, filing date18828323.806.06.2018
[2020/20]
WO2018CA50679
Priority number, dateUS201762529474P07.07.2017         Original published format: US 201762529474 P
US201862623615P30.01.2018         Original published format: US 201862623615 P
US20181598247817.05.2018         Original published format: US201815982478
[2020/20]
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report
No.:WO2019006541
Date:10.01.2019
Language:EN
[2019/02]
Type: A1 Application with search report 
No.:EP3649582
Date:13.05.2020
Language:EN
The application published by WIPO in one of the EPO official languages on 10.01.2019 takes the place of the publication of the European patent application.
[2020/20]
Search report(s)International search report - published on:CA10.01.2019
(Supplementary) European search report - dispatched on:EP21.06.2021
ClassificationIPC:G06N20/00, G06N3/04, G06N3/08
[2021/16]
CPC:
G06N3/084 (EP,US); G06N20/00 (US); G06N3/045 (EP,US)
Former IPC [2020/20]G06N20/00
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 [2020/20]
TitleGerman:SYSTEM UND VERFAHREN ZUR AUTOMATISCHEN ERSTELLUNG VON LERNMASCHINEN MIT LERNMASCHINEN[2020/20]
English:SYSTEM AND METHOD FOR AUTOMATIC BUILDING OF LEARNING MACHINES USING LEARNING MACHINES[2020/20]
French:SYSTÈME ET PROCÉDÉ DE CONSTRUCTION AUTOMATIQUE DE MACHINES D'APPRENTISSAGE À L'AIDE DE MACHINES D'APPRENTISSAGE[2020/20]
Entry into regional phase05.02.2020National basic fee paid 
05.02.2020Search fee paid 
05.02.2020Designation fee(s) paid 
05.02.2020Examination fee paid 
Examination procedure05.02.2020Examination requested  [2020/20]
08.02.2022Despatch of communication that the application is deemed to be withdrawn, reason: reply to the communication from the examining division not received in time
12.04.2022Amendment by applicant (claims and/or description)
19.02.2024Despatch of a communication from the examining division (Time limit: M04)
17.06.2024Reply to a communication from the examining division
Request for further processing for:The application is deemed to be withdrawn due to failure to indicate the wish to proceed further with the application
12.04.2022Request for further processing filed
12.04.2022Full payment received (date of receipt of payment)
Request granted
25.05.2022Decision despatched
The application is deemed to be withdrawn due to failure to reply to the Extended European Search Report/Written Opinion of the International Searching Authority/International Preliminary Examination Report/Supplementary international search report/Supplementary European search report
12.04.2022Request for further processing filed
12.04.2022Full payment received (date of receipt of payment)
Request granted
25.05.2022Decision despatched
Fees paidRenewal fee
05.02.2020Renewal fee patent year 03
04.06.2021Renewal fee patent year 04
29.06.2022Renewal fee patent year 05
30.06.2023Renewal fee patent year 06
12.04.2024Renewal fee patent year 07
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Documents cited:Search[X]US2012226644  (JIN WEN [US], et al) [X] 1,5,7,9 * paragraph [0009] * * paragraph [0060] *;
 [X]CN106096727  (TENCENT TECH SHENZHEN CO LTD ) [X] 1-9 * paragraph [0005] - paragraph [0009] * * paragraph [0030] * * paragraph [0046] * * paragraph [0079] *;
 [X]CN106650928  (GUANGZHOU CVTE ELECTRONIC TECH) [X] 1,2,5,6 * paragraph [0089] - paragraph [0093] * * paragraph [0106] *;
 [XP]WO2018068421  (GUANGZHOU SHIYUAN ELECTRONICS CO LTD [CN]) [XP] 1,2,5,6 * paragraph [0089] - paragraph [0093] * * paragraph [0106] *;
 [E]US2018268296  (ZHENG BO [CN], et al) [E] 1-9 * paragraph [0005] - paragraph [0009] * * paragraph [0030] * * paragraph [0046] ** paragraph [0079] *;
 [A]  - Wilamowski Bogdan M. ET AL, "Chapter 15: Feedforward Neural Networks Pruning Algorithms", Intelligent Systems, Taylor & Francis Group, (20110304), ISBN 978-1-4398-0284-7, XP055783211 [A] 1-9 * section 15.1 *
International search[A]US2012310618  (B FAR REZA [US], et al) [A] 1-10 * Abstract; Figs. 1, 5; paragraphs [0005-0009, 0039-0067] *;
 [X]US2017124487  (SZETO KIT PANG [US], et al) [X] 1-10 * Abstract; claim 1; Figs. 5A-8; paragraphs [0019-0051, 0207-0282, 0332] *;
 [A]  - SHAFIEE et al., "EvoNet: Evolutionary Synthesis of Deep Neural Networks", arXiv:1606.04393v1, (20160614), pages 1 - 5, URL: https://arxiv.org/pdf/1606.04393v1.pdf, XP055564233 [A] 1-10 * Entire document *
 [A]  - SHAFIEE et al., "Deep Learning with Darwin: Evolutionary Synthesis of Deep Neural Networks", arXiv:1606.04393v3, (20170206), pages 1 - 5, URL: https://arxiv.org/pdf/1606.04393.pdf, XP055564237 [A] 1-10 * Entire document *

DOI:   http://dx.doi.org/10.1007/s11063-017-9733-0
by applicantUS2012226644
 CN106096727
 CN106650928
    - "Chapter 15: Feedforward Neural Networks Pruning Algorithms", WILAMOWSKI BOGDAN M. et al., Intelligent Systems, Taylor & Francis Group
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.