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Extract from the Register of European Patents

EP About this file: EP4046076

EP4046076 - NEURAL-SYMBOLIC COMPUTING [Right-click to bookmark this link]
StatusExamination is in progress
Status updated on  07.06.2024
Database last updated on 02.09.2024
FormerRequest for examination was made
Status updated on  22.07.2022
FormerThe international publication has been made
Status updated on  17.09.2021
Most recent event   Tooltip07.06.2024New entry: Despatch of examination report + time limit 
07.06.2024First examination report 
Applicant(s)For all designated states
SRI International
333 Ravenswood Avenue
Menlo Park, CA 94025-3539 / US
[2022/34]
Inventor(s)01 / BYRNES, John
13234 Frame Court
Poway, CA 92064 / US
02 / ROHWER, Richard
11162 Promesa Drive
San Diego, CA 92124 / US
03 / SILBERFARB, Andrew
13550 Russet Leaf Lane
San Diego, CA 92129 / US
 [2022/34]
Representative(s)D Young & Co LLP
3 Noble Street
London EC2V 7BQ / GB
[N/P]
Former [2022/34]D Young & Co LLP
120 Holborn
London EC1N 2DY / GB
Application number, filing date21768909.015.03.2021
[2022/34]
WO2021US22401
Priority number, dateUS202062987687P10.03.2020         Original published format: US 202062987687 P
[2022/34]
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report
No.:WO2021184013
Date:16.09.2021
Language:EN
[2021/37]
Type: A1 Application with search report 
No.:EP4046076
Date:24.08.2022
Language:EN
The application published by WIPO in one of the EPO official languages on 16.09.2021 takes the place of the publication of the European patent application.
[2022/34]
Search report(s)International search report - published on:US16.09.2021
(Supplementary) European search report - dispatched on:EP31.10.2023
ClassificationIPC:G06N3/02, G06N7/00, H03K19/00, G06N3/042, G06N3/084
[2023/48]
CPC:
G06N3/084 (EP,US); G06N3/042 (EP,US)
Former IPC [2022/34]G06N3/02, G06N7/00, H03K19/00
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 [2022/34]
TitleGerman:NEURONAL-SYMBOLISCHES RECHNEN[2022/34]
English:NEURAL-SYMBOLIC COMPUTING[2022/34]
French:CALCUL NEUROSYMBOLIQUE[2022/34]
Entry into regional phase17.05.2022National basic fee paid 
17.05.2022Search fee paid 
17.05.2022Designation fee(s) paid 
17.05.2022Examination fee paid 
Examination procedure17.05.2022Examination requested  [2022/34]
15.05.2024Amendment by applicant (claims and/or description)
15.05.2024Date on which the examining division has become responsible
06.06.2024Despatch of a communication from the examining division (Time limit: M04)
Request for re-establishment of rights:13.06.2022Date of receipt
Fees paidRenewal fee
27.03.2023Renewal fee patent year 03
03.01.2024Renewal 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]EP3291146  (FUJITSU LTD [JP]);
 [I]WO2018208813  (STANFORD RES INST INT [US]);
International search[A]US2005194993  (LABLANS PETER [US]) [A] 1-20 * entire document *;
 [A]US2007239632  (BURGES CHRISTOPHER J [US], et al) [A] 1-20 * entire document *;
 [A]US2012158685  (WHITE RYEN W [US], et al) [A] 1-20 * entire document *;
 [A]US2014201126  (ZADEH LOTFI A [US], et al) [A] 1-20* entire document *;
 [A]  - BESOLD et al., "Reasoning in non-probabilistic uncertainty: Logic programming and neural-symbolic computing as examples", Minds and Machines, vol. 27, no. 1, (2017309), pages 37 - 77, URL: https://arxiv.org/pdf/1701.05226.pdf, (20210510), XP036203005 [A] 1-20 * entire document *

DOI:   http://dx.doi.org/10.1007/s11023-017-9428-3
 [A]  - GARCEZ et al., "Neural-symbolic learning and reasoning: contributions and challenges", City, University of London Institutional Repository, (20150512), URL: https://openaccess.city.ac.uk/id/eprint/11838, (20210510), XP055854411 [A] 1-20 * entire document *
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.