Presentation 2017-11-10
[Invited Talk] Brain Inspired Computing System
Toshiyuki Kanoh, Kosuke Nishihara,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Neural network based artificial intelligence like deep learning research makes remarkable progress by using huge and high performance computing resource. On the other hand, brain science research cralifies that human brain realize a multimodal, flexible and efficient cognitive function by only 20w energy consumption and about 2kg weight body. This paper introduces our challenge realizes the artificial cognitive system by following the result of brain function and structure analysis Keywords Artificial Intelligence, Brain Science, Brain Inspired Computing
Keyword(in Japanese) (See Japanese page)
Keyword(in English) AI / Brain Science / Brain Inspired Computing
Paper # CCS2017-27
Date of Issue 2017-11-02 (CCS)

Conference Information
Committee CCS
Conference Date 2017/11/9(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Osaka Univ.
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Naoki Wakamiya(Osaka Univ.)
Vice Chair Mikio Hasegawa(Tokyo Univ. of Science) / Makoto Naruse(NICT)
Secretary Mikio Hasegawa(Osaka Univ.) / Makoto Naruse(Tokyo City Univ.)
Assistant Chisa Takano(Hirishima City Univ.) / Takashi Shimada(Univ. of Tokyo) / Tomoya Suzuki(Ibaraki Univ.) / Ryo Takahashi(AUT)

Paper Information
Registration To Technical Committee on Complex Communication Sciences
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) [Invited Talk] Brain Inspired Computing System
Sub Title (in English) Aiming to realize the human like cognitive computing
Keyword(1) AI
Keyword(2) Brain Science
Keyword(3) Brain Inspired Computing
1st Author's Name Toshiyuki Kanoh
1st Author's Affiliation Osaka University(Osaka Univ.)
2nd Author's Name Kosuke Nishihara
2nd Author's Affiliation Osaka University(Osaka Univ.)
Date 2017-11-10
Paper # CCS2017-27
Volume (vol) vol.117
Number (no) CCS-288
Page pp.pp.35-38(CCS),
#Pages 4
Date of Issue 2017-11-02 (CCS)