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Paper Abstract and Keywords
Presentation 2018-04-19 13:50
[Invited Talk] Hard- and Soft- Synchronized Developments of Resistive Analog Neuro Devices and Systems
Hiroyuki Akinaga, Hisashi Shima, Yasuhisa Naitoh (AIST), Tetsuya Asai (Hokkaido Univ.) ICD2018-5
Abstract (in Japanese) (See Japanese page) 
(in English) Artificial Neural Network (ANN) System for Inference has attracted increasing attention. As widely known, Resistive Analog Neuro Device (RAND) is considered as one of the most promising devices to realize the energy-efficient ANN system and non von Neumann computing architecture which complements existing computing systems. The RAND has the great advantages regarding the miniaturization, because we can utilize the technical knowledge of the digital memory (ReRAM) in existence. Accordingly, the synchronized development of Hard- (namely RAND) and Soft- (for example, ANN architecture) systems is indispensable. In this contribution, the research trend of RAND system is shown, and we will discuss the method to evaluate the Artificial Intelligence (AI) Hard devices. Next, a novel leaning method that sets sign-invariant weights is also shown. This brings about effective innovation to the implementation of RAND, from the viewpoint of the larger device capacity and the faster data-transfer in the computing system. The obtained learned network showed the high accuracy comparable to non-sign-invariant ordinary networks for category classification.
Keyword (in Japanese) (See Japanese page) 
(in English) Resistive Analog Neuro Device (RAND) / Artificial Neural Network System for Inference / Hard- and Soft- Synchronized Developments / / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 10, ICD2018-5, pp. 15-15, April 2018.
Paper # ICD2018-5 
Date of Issue 2018-04-12 (ICD) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee ICD  
Conference Date 2018-04-19 - 2018-04-20 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ICD 
Conference Code 2018-04-ICD 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Hard- and Soft- Synchronized Developments of Resistive Analog Neuro Devices and Systems 
Sub Title (in English)  
Keyword(1) Resistive Analog Neuro Device (RAND)  
Keyword(2) Artificial Neural Network System for Inference  
Keyword(3) Hard- and Soft- Synchronized Developments  
Keyword(4)  
Keyword(5)  
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1st Author's Name Hiroyuki Akinaga  
1st Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
2nd Author's Name Hisashi Shima  
2nd Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
3rd Author's Name Yasuhisa Naitoh  
3rd Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
4th Author's Name Tetsuya Asai  
4th Author's Affiliation Hokkaido University (Hokkaido Univ.)
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Speaker Author-1 
Date Time 2018-04-19 13:50:00 
Presentation Time 50 minutes 
Registration for ICD 
Paper # ICD2018-5 
Volume (vol) vol.118 
Number (no) no.10 
Page p.15 
#Pages 1 
Date of Issue 2018-04-12 (ICD) 

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