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Extract from the Register of European Patents

EP About this file: EP3101598

EP3101598 - AUGMENTED NEURAL NETWORKS [Right-click to bookmark this link]
StatusThe application has been withdrawn
Status updated on  12.11.2021
Database last updated on 11.09.2024
FormerExamination is in progress
Status updated on  02.07.2019
FormerRequest for examination was made
Status updated on  06.10.2017
FormerThe application has been published
Status updated on  04.11.2016
Most recent event   Tooltip12.11.2021Withdrawal of applicationpublished on 15.12.2021  [2021/50]
Applicant(s)For all designated states
DeepMind Technologies Limited
5 New Street Square
London EC4A 3TW / GB
[N/P]
Former [2020/17]For all designated states
DeepMind Technologies Limited
5 New Street Square
London
EC4A 3TW / GB
Former [2017/45]For all designated states
Google LLC
1600 Amphitheatre Parkway
Mountain View, CA 94043 / US
Former [2016/49]For all designated states
Google Inc.
1600 Amphitheatre Parkway
Mountain View, CA 94043 / US
Inventor(s)01 / Grefenstette, Edward Thomas
7 Pancras Square
Kings Cross
London, N1C 4AG / GB
02 / Hermann, Karl Moritz
7 Pancras Square
Kings Cross
London, N1C 4AG / GB
03 / Suleyman, Mustafa
7 Pancras Square
Kings Cross
London, N1C 4AG / GB
04 / Blunsom, Philip
7 Pancras Square
Kings Cross
London, N1C 4AG / GB
 [2016/49]
Representative(s)Williams, Michael David
Marks & Clerk LLP
1 New York Street
Manchester M1 4HD / GB
[2016/49]
Application number, filing date16172981.903.06.2016
[2016/49]
Priority number, dateUS201562172023P05.06.2015         Original published format: US 201562172023 P
[2016/49]
Filing languageEN
Procedural languageEN
PublicationType: A2 Application without search report 
No.:EP3101598
Date:07.12.2016
Language:EN
[2016/49]
Type: A3 Search report 
No.:EP3101598
Date:05.04.2017
Language:EN
[2017/14]
Search report(s)(Supplementary) European search report - dispatched on:EP07.03.2017
ClassificationIPC:G06N3/04, G06N3/063, G06N3/08
[2017/15]
CPC:
G06N3/063 (EP,US); G06N3/08 (US); G06N3/044 (EP,US);
G06N3/082 (US)
Former IPC [2016/49]G06N3/04
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 [2017/45]
Former [2016/49]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 
Extension statesBANot yet paid
MENot yet paid
Validation statesMANot yet paid
MDNot yet paid
TitleGerman:ERWEITERTE NEURONALE NETZWERKE[2016/49]
English:AUGMENTED NEURAL NETWORKS[2016/49]
French:RÉSEAUX NEURONAUX AUGMENTÉS[2016/49]
Examination procedure03.06.2016Date on which the examining division has become responsible
27.09.2017Amendment by applicant (claims and/or description)
27.09.2017Examination requested  [2017/45]
05.07.2019Despatch of a communication from the examining division (Time limit: M04)
14.11.2019Reply to a communication from the examining division
09.11.2021Application withdrawn by applicant  [2021/50]
09.11.2021Cancellation of oral proceeding that was planned for 07.12.2021
07.12.2021Date of oral proceedings (cancelled)
Fees paidRenewal fee
27.06.2018Renewal fee patent year 03
27.06.2019Renewal fee patent year 04
29.06.2020Renewal fee patent year 05
28.06.2021Renewal fee patent year 06
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Documents cited:Search[XI]  - G Z Sun ET AL, "The Neural Network Pushdown Automaton: Model, Stack and Learning Simulations", UNIVERSITY OF MARYLAND TR NOs. UMIACS-TR-93-77 & CS-TR-3118, (19930820), pages 1 - 36, URL: https://clgiles.ist.psu.edu/papers/UMD-CS-TR-3118.recurrent.net.pushdown.automata.pdf, (20170222), XP055348713 [X] 1-6,12,13 * Sections I-III * [I] 7-11
 [XAI]  - Armand Joulin ET AL, "Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets", (20150601), pages 1 - 10, URL: http://arxiv.org/pdf/1503.01007.pdf, (20160107), XP055239416 [X] 1-3,6,12,13 * Section 4 * [A] 4,5,9,10 [I] 7,8,11
 [XP]  - Edward Grefenstette ET AL, "Learning to Transduce with Unbounded Memory", (20151103), pages 1 - 14, URL: https://arxiv.org/pdf/1506.02516.pdf, (20170127), XP055339978 [XP] 1-13 * the whole document *
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