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Paper Abstract and Keywords
Presentation 2023-02-07 15:35
[Invited Talk] Temperature Dependence of Information Processing Performance of Ionic Liquid Type Intelligent Connection Device
Masakazu Kobayashi (NAGASE), Hisashi Shima, Yasuhisa Naitoh, Hiroyuki Akinaga (AIST), Dan Sato, Takuma Matsuo, Masaharu Yonezawa, Kentaro Kinoshita (TUS), Toshiyuki Itoh (Toyota Phys. & Chem. Res. Inst.), Toshiki Nokami (Tottori Univ), Yasumitsu Orii (NAGASE) SDM2022-91
Abstract (in Japanese) (See Japanese page) 
(in English) The amount of the calculation cost of AI training increases exponentially, and this causes an increase in power consumption. We propose an Intelligent Connection (IConnect) Device which is the interconnect with AI processing capability mimicking biological synapse connection in brain. We investigated the possibility of applying the IConnect Device in which the electrochemical reaction of metal ions in ionic liquids plays an important role to the feature extraction of time series data. Nonlinear output signals reflecting metal precipitation and dissolution in the ionic liquid were obtained, and the performance of the reservoir calculation was confirmed. We discuss the applicability of this device to the interconnect technology where the information processing method changes depending on the surrounding environment based on the difference in electrochemical reaction at different temperatures like the learning of living organisms.
Keyword (in Japanese) (See Japanese page) 
(in English) Intelligent Connection Device / Ionic Liquids / Physical Reservoir / Electrochemical Reaction / Non Von Neumann Computing / Low Power Consumption / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 377, SDM2022-91, pp. 27-32, Feb. 2023.
Paper # SDM2022-91 
Date of Issue 2023-01-31 (SDM) 
ISSN 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)
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Conference Information
Committee SDM  
Conference Date 2023-02-07 - 2023-02-07 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SDM 
Conference Code 2023-02-SDM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Temperature Dependence of Information Processing Performance of Ionic Liquid Type Intelligent Connection Device 
Sub Title (in English)  
Keyword(1) Intelligent Connection Device  
Keyword(2) Ionic Liquids  
Keyword(3) Physical Reservoir  
Keyword(4) Electrochemical Reaction  
Keyword(5) Non Von Neumann Computing  
Keyword(6) Low Power Consumption  
Keyword(7)  
Keyword(8)  
1st Author's Name Masakazu Kobayashi  
1st Author's Affiliation NAGASE&CO.,LTD (NAGASE)
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 Hiroyuki Akinaga  
4th Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
5th Author's Name Dan Sato  
5th Author's Affiliation Tokyo University of Science (TUS)
6th Author's Name Takuma Matsuo  
6th Author's Affiliation Tokyo University of Science (TUS)
7th Author's Name Masaharu Yonezawa  
7th Author's Affiliation Tokyo University of Science (TUS)
8th Author's Name Kentaro Kinoshita  
8th Author's Affiliation Tokyo University of Science (TUS)
9th Author's Name Toshiyuki Itoh  
9th Author's Affiliation Toyota Physical and Chemical Research Institute (Toyota Phys. & Chem. Res. Inst.)
10th Author's Name Toshiki Nokami  
10th Author's Affiliation Tottori University (Tottori Univ)
11th Author's Name Yasumitsu Orii  
11th Author's Affiliation NAGASE&CO.,LTD (NAGASE)
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Speaker Author-1 
Date Time 2023-02-07 15:35:00 
Presentation Time 40 minutes 
Registration for SDM 
Paper # SDM2022-91 
Volume (vol) vol.122 
Number (no) no.377 
Page pp.27-32 
#Pages
Date of Issue 2023-01-31 (SDM) 


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