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Paper Abstract and Keywords
Presentation 2018-04-19 13:00
[Invited Talk] VLSI implementation of chaotic Boltzmann machine for deep learning hardware
Takashi Morie, Masatoshi Yamaguchi, Ichiro Kawashima, Hakaru Tamukoh (Kyushu Inst. of Tech.) ICD2018-4 Link to ES Tech. Rep. Archives: ICD2018-4
Abstract (in Japanese) (See Japanese page) 
(in English) The Boltzmann machine (BM) model has been proposed as an optimization-problem solver as well as a learning machine using stochastic behavior. The restricted BMs are also used in deep learning machines. The chaotic Boltzmann machine (CBM) model uses analog nonlinear dynamics instead of stochastic operation, and it is suitable for efficient VLSI implementation because it requires no random number generator circuits, which consume a considerable footprint on a chip as well as considerable power. The CBM model is described by a set of nonlinear differential equations, but its operation can be emulated by digital VLSI circuits. Therefore, we have designed CMOS CBM integrated circuits based on both analog and digital approaches. The experimental results using fabricated VLSI chips and FPGAs show that they exhibit chaotic behavior and can solve optimization problems.
Keyword (in Japanese) (See Japanese page) 
(in English) Chaotic Boltzmann machine / analog integrated circui / FPGA / / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 10, ICD2018-4, pp. 13-13, April 2018.
Paper # ICD2018-4 
Date of Issue 2018-04-12 (ICD) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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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)
Download PDF ICD2018-4 Link to ES Tech. Rep. Archives: ICD2018-4

Conference Information
Committee ICD  
Conference Date 2018-04-19 - 2018-04-20 
Place (in Japanese) (See Japanese page) 
Place (in English)  
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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) VLSI implementation of chaotic Boltzmann machine for deep learning hardware 
Sub Title (in English)  
Keyword(1) Chaotic Boltzmann machine  
Keyword(2) analog integrated circui  
Keyword(3) FPGA  
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1st Author's Name Takashi Morie  
1st Author's Affiliation Kyushu Institute of Technology (Kyushu Inst. of Tech.)
2nd Author's Name Masatoshi Yamaguchi  
2nd Author's Affiliation Kyushu Institute of Technology (Kyushu Inst. of Tech.)
3rd Author's Name Ichiro Kawashima  
3rd Author's Affiliation Kyushu Institute of Technology (Kyushu Inst. of Tech.)
4th Author's Name Hakaru Tamukoh  
4th Author's Affiliation Kyushu Institute of Technology (Kyushu Inst. of Tech.)
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Speaker
Date Time 2018-04-19 13:00:00 
Presentation Time 50 
Registration for ICD 
Paper # IEICE-ICD2018-4 
Volume (vol) IEICE-118 
Number (no) no.10 
Page p.13 
#Pages IEICE-1 
Date of Issue IEICE-ICD-2018-04-12 


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