Title:
WEIGHT TRANSFER DEVICE FOR NEUROMORPHIC ELEMENT, AND WEIGHT TRANSFER METHOD USING SAME
Document Type and Number:
WIPO Patent Application WO/2023/090592
Kind Code:
A1
Abstract:
A weight transfer device for a neuromorphic element according to one aspect of the present invention comprises: memory in which a weight transfer program for the neuromorphic element is stored; and a processor for executing the weight transfer program. The weight transfer program: builds an artificial neural network learning model; transfers a weight of the built artificial neural network learning model to the neuromorphic element; determines whether a synapse cell included in the neuromorphic element to which the weight has been transferred is defective; rebuilds the artificial neural network learning model after setting a weight corresponding to a defective synapse cell to 0 in the artificial neural network learning model; and transfers the weight of the rebuilt artificial neural network learning model to the neuromorphic element.
Inventors:
PARK BYUNG-GOOK (KR)
KIM TAE-HYEON (KR)
KIM TAE-HYEON (KR)
Application Number:
PCT/KR2022/012743
Publication Date:
May 25, 2023
Filing Date:
August 25, 2022
Export Citation:
Assignee:
SEOUL NAT UNIV R&DB FOUNDATION (KR)
International Classes:
G06N3/063; G06N3/04; G06N3/08; G11C11/54
Foreign References:
| KR20210024640A | 2021-03-05 | |||
| KR20200113106A | 2020-10-06 | |||
| KR20210100194A | 2021-08-13 | |||
| JP2019519045A | 2019-07-04 | |||
| JP2021511566A | 2021-05-06 |
Attorney, Agent or Firm:
MAPS INTELLECTUAL PROPERTY LAW FIRM (KR)
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