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Patent Searching and Data


Title:
SYSTEM AND METHOD FOR PERFORMING LAYER OPTIMIZATION OF STACKED RESISTIVE RANDOM ACCESS MEMORY DEVICE BY USING ARTIFICIAL INTELLIGENCE TECHNOLOGY
Document Type and Number:
WIPO Patent Application WO/2022/114913
Kind Code:
A1
Abstract:
Provided are a system and a method for performing layer optimization of a stacked resistive random access memory device by using artificial intelligence technology. The method relates to a method using a neural network device for performing layer optimization of a stacked resistive random access memory device by using artificial intelligence technology, and may comprise the steps of: classifying, by the neural network device, BNN parameters into a physical parameter and a hyper-parameter in a BNN model; obtaining, by the neural network device, an optimal parameter by using the physical parameter and the hyper-parameter; and calculating, by the neural network device, a minimum channel size in the BNN model by using the optimal parameter.

Inventors:
KIM LOK WON (KR)
Application Number:
PCT/KR2021/017832
Publication Date:
June 02, 2022
Filing Date:
November 30, 2021
Export Citation:
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Assignee:
UNIV INDUSTRY COOPERATION GROUP KYUNG HEE UNIV (KR)
International Classes:
G06N3/063; G06N3/04; G06N3/08
Foreign References:
CN111160534A2020-05-15
CN110991621A2020-04-10
KR20200091785A2020-07-31
Other References:
XUANYI DONG; YI YANG: "Network Pruning via Transformable Architecture Search", ARXIV.ORG, 23 May 2019 (2019-05-23), 201 Olin Library Cornell University Ithaca, NY 14853 , XP081500056
BOGDAN PENKOVSKY; MARC BOCQUET; TIFENN HIRTZLIN; JACQUES-OLIVIER KLEIN; ETIENNE NOWAK; ELISA VIANELLO; JEAN-MICHEL PORTAL; DAMIEN : "In-Memory Resistive RAM Implementation of Binarized Neural Networks for Medical Applications", ARXIV.ORG, 20 June 2020 (2020-06-20), 201 Olin Library Cornell University Ithaca, NY 14853 , XP081699610
Attorney, Agent or Firm:
DODAM IP LAW FIRM (KR)
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