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Paper Abstract and Keywords
Presentation 2024-01-31 15:50
[Invited Talk] Physical Reservoir Computing using HZO-based FeFETs for Edge-AI Applications
Shin-ichi Takagi, Kasidit Toprasertpong, Eishin Nkako, Rikuo Suzuki, Shin-Yi Min, Mitsuru Takenaka, Ryosho Nakane (The Univ. of Tokyo) SDM2023-80
Abstract (in Japanese) (See Japanese page) 
(in English) Physical reservoir computing (RC) using ferroelectric HfZrO2/Si FeFETs is proposed and demonstrated for application to edge AI computation with high energy efficiency. In this reservoir, the time response of the FeFET current is used as a virtual node. We experimentally demonstrate the basic properties of the RC performance and describe several methods to improve the RC performance. We applied this RC scheme to two typical AI tasks: nonlinear time series data prediction and speech recognition. The speech recognition task classified audio waveforms of numbers from 0 to 9, spoken in English, and showed a classification accuracy of 98.1 %.
Keyword (in Japanese) (See Japanese page) 
(in English) reservoir computing / FeFET / HfZrO2 / ferroelectric films / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 375, SDM2023-80, pp. 24-27, Jan. 2024.
Paper # SDM2023-80 
Date of Issue 2024-01-24 (SDM) 
ISSN 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)
Download PDF SDM2023-80

Conference Information
Committee SDM  
Conference Date 2024-01-31 - 2024-01-31 
Place (in Japanese) (See Japanese page) 
Place (in English) KIT Toranomon Graduate School 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Advanced semiconductor devices and processes (Special feature on IEDM) 
Paper Information
Registration To SDM 
Conference Code 2024-01-SDM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Physical Reservoir Computing using HZO-based FeFETs for Edge-AI Applications 
Sub Title (in English)  
Keyword(1) reservoir computing  
Keyword(2) FeFET  
Keyword(3) HfZrO2  
Keyword(4) ferroelectric films  
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Keyword(6)  
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1st Author's Name Shin-ichi Takagi  
1st Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
2nd Author's Name Kasidit Toprasertpong  
2nd Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
3rd Author's Name Eishin Nkako  
3rd Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
4th Author's Name Rikuo Suzuki  
4th Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
5th Author's Name Shin-Yi Min  
5th Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
6th Author's Name Mitsuru Takenaka  
6th Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
7th Author's Name Ryosho Nakane  
7th Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
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Speaker Author-1 
Date Time 2024-01-31 15:50:00 
Presentation Time 30 minutes 
Registration for SDM 
Paper # SDM2023-80 
Volume (vol) vol.123 
Number (no) no.375 
Page pp.24-27 
#Pages 4 
Date of Issue 2024-01-24 (SDM) 

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