IEICE Technical Committee Submission System
Conference Schedule
Online Proceedings
[Sign in]
Tech. Rep. Archives
    [Japanese] / [English] 
( Committee/Place/Topics  ) --Press->
 
( Paper Keywords:  /  Column:Title Auth. Affi. Abst. Keyword ) --Press->

All Technical Committee Conferences  (All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 78  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
CCS 2022-03-27
09:00
Hokkaido RUSUTSU RESORT HOTEL & CONVENTION
(Primary: On-site, Secondary: Online)
Construction and Evaluation of Physical Reservoir Based on CNT/Molecular Networks
Kento Igarashi, Tetsuya Asai, Megumi Akai (Hokkaido Univ.) CCS2021-36
Previous studies have suggested that a network consisting of carbon nanotubes ( CNT ) and polyacid molecules ( POM ) may... [more] CCS2021-36
pp.1-6
CCS 2022-03-27
10:25
Hokkaido RUSUTSU RESORT HOTEL & CONVENTION
(Primary: On-site, Secondary: Online)
A novel hardware-oriented log-quantized optimizer for edge AI devices and their online learning
Tatsuya Kaneko, Yoshiharu Yamagishi, Hiroshi Momose, Tetsuya Asai (Hokkaido Univ.) CCS2021-39
In recently, the concept of training neural networks (NN) at the edge has attracted much attention.
Updating parameters... [more]
CCS2021-39
pp.19-24
CCS 2022-03-27
10:50
Hokkaido RUSUTSU RESORT HOTEL & CONVENTION
(Primary: On-site, Secondary: Online)
An Improvement of Prediction Performance of Reservoir Computing using Deep FORCE Learning
Kazuki Nakada, Eiji Suzuki, Keita Suda, Yukio Terasaki (TDK), Tetsuya Asai (Hokkaido Univ.), Tomoyuki Sasaki (TDK) CCS2021-40
The physical implementation has become increasingly important in the recent machine learning trends. Reservoir Computing... [more] CCS2021-40
pp.25-30
CCS 2022-03-27
14:15
Hokkaido RUSUTSU RESORT HOTEL & CONVENTION
(Primary: On-site, Secondary: Online)
A novel method of hidden-area generation with generative adversarial networks in diminished reality
Taisei Saito, Tetsuya Asai (Hokkaido Univ.) CCS2021-45
 [more] CCS2021-45
pp.54-59
CCS 2022-03-27
14:50
Hokkaido RUSUTSU RESORT HOTEL & CONVENTION
(Primary: On-site, Secondary: Online)
Examination of neuromorphic circuit architecture consisting of 3D wiring memory devices
Naruki Hagiwara, Yoshiki Amemiya, Ali Emiliano Jose, Tetsuya Asai (Hokkaido Univ.), Megumi Akai-Kasaya (Hokkaido Univ./Osaka Univ.) CCS2021-46
Analog neural network circuits using non-volatile analog resistance change memory devices have been developed mainly bas... [more] CCS2021-46
pp.60-65
CCS 2021-11-19
12:35
Osaka Osaka Univ.
(Primary: On-site, Secondary: Online)
FPGA Architecture for Reservoir Computing with time-division input interfaces and online learning systems
Kose Yoshida, Yuki Abe (Hokkaido Univ.), Megumi Akai-Kasaya (Hokkaido Univ./Osaka Univ.), Tetsuya Asai (Hokkaido Univ.) CCS2021-29
In this paper we present an FPGA architecture for reservoir computing using a ring-type reservoir with time-division I/O... [more] CCS2021-29
pp.67-72
CCS 2021-11-19
13:00
Osaka Osaka Univ.
(Primary: On-site, Secondary: Online)
Physical reservoir computing on analog-digital hybrid circuit systems consisting of discrete semiconductor devices
Yuki Abe, Kose Yoshida (Hokkaido Univ), Megumi Akai-Kasaya (Hokkaido Univ/Osaka Univ), Tetsuya Asai (Hokkaido Univ) CCS2021-30
This report describes machine learning process & benchmarks by using physical reservoir computing device. We design phys... [more] CCS2021-30
pp.73-78
IN, CCS
(Joint)
2021-08-05
14:25
Online Online Digital Implement of 3-layered Neural Networks with Stochastic Activation, Shunting Inhibition, and a Dual-rail Backpropagation
Yoshiaki Sasaki, Seiya Muramatsu, Kohei Nishida, Megumi Akai-Kasaya, Tetsuya Asai (Hokkaido Univ.) CCS2021-16
Stochastic computing (SC) is an arithmetic technique that enables various operations to be performed with a small number... [more] CCS2021-16
pp.7-13
NLP, CCS 2021-06-11
15:20
Online Online Improvement of Controllability of a Nonlinear MEMS Resonator Type Reservoir based on Mutual Information Criteria
Kazuki Nakada, Shunya Suzuki, Eiji Suzuki, Yukio Terasaki, Tomoyuki Sasaki (TDK), Tetsuya Asai (Hokkaido Univ.) NLP2021-10 CCS2021-10
In this work, we propose a parameter tuning method based on mutual information criteria for MEMS (Micro Electro Mechanic... [more] NLP2021-10 CCS2021-10
pp.45-50
CCS 2021-03-29
13:00
Online Online Construction of Nonlinear Large-Scale Network Simulator aiming for Emergence of Reservoir function
Kento Igarashi, Tetsuya Asai, Megumi Akai (Hokkaido Univ.) CCS2020-21
A large-scale network simulator consisting of non-linear elements has been constructed for the physical implementation o... [more] CCS2020-21
pp.1-6
CCS 2021-03-29
13:25
Online Online Neuromorphic Devices using Spatial Free Wiring of Conductive Polymer for Hardware Artificial Neural Networks
Emiliano Ali, Yoshiki Amemiya, Tetsuya Asai (Hokkaido Univ.), Megumi Akai-Kasaya (Osaka Univ.) CCS2020-22
Nanowires made of conductive polymer have a promising potential to be used in a wide range of applications in the electr... [more] CCS2020-22
pp.7-12
IN, CCS
(Joint)
2020-08-04
13:50
Online Online Availability of nonlinear response of materials using in the construction of simple reservoir computing
Shaohua Kan (Osaka Univ.), Kohei Nakajima (Univ. of Tokyo), Tetsuya Asai, Megumi Akai-Kasaya (Hokkaido Univ.) CCS2020-16
Non-linear dynamical systems serving as the reservoir has attracted much attention in physical reservoir computing. Here... [more] CCS2020-16
pp.23-28
NLP, NC
(Joint)
2020-01-24
13:50
Okinawa Miyakojima Marine Terminal Ternarized Backpropagation for Edge AI and its FPGA Implementation
Tatsuya Kaneko, Yoshiharu Yamagishi, Hiroshi Momose, Tetsuya Asai (Hokkaido Univ.) NLP2019-95
In recent years there has been growing more interest in machine/deep learning.
As following this movement, many types ... [more]
NLP2019-95
pp.53-58
NLP, NC
(Joint)
2020-01-24
16:10
Okinawa Miyakojima Marine Terminal 26-bit 400-neuron 0.3-ksps FORCE Learning FPGA Core for Reservoir Computing
koyo Minamikawa, Shunya Suzuki, Megumi Akai-Kasaya, Tetsuya asai (Hokkaido Univ.) NLP2019-98
Reservoir Computing (RC) is a type of Recurrent Neural Network (RNN) and are used for processing time series.
Since the... [more]
NLP2019-98
pp.67-72
MIKA
(2nd)
2019-10-04
11:15
Hokkaido Hokkaido Univ. [Invited Lecture] Manufacturing-centric Open Innovation for AI -- Activities towards emerging Edge-AI Devices in Hokkaido University --
Tetsuya Asai (Hokkaido Univ.)
 [more]
CPSY, DC, IPSJ-ARC [detail] 2019-07-26
14:40
Hokkaido Kitami Civic Hall
Yuki Hirayama, Hirose Kazutoshi, Kota Ando, Kodai Ueyoshi, Tetsuya Asai (Hokkaido Univ.), Masato Motomura (Tokyo Tech), Shinya Takamaeda (Hokkaido Univ.) CPSY2019-35 DC2019-35
 [more] CPSY2019-35 DC2019-35
pp.197-202
DC, CPSY, IPSJ-ARC [detail] 2019-06-11
16:20
Kagoshima National Park Resort Ibusuki CPSY2019-8 DC2019-8  [more] CPSY2019-8 DC2019-8
pp.63-68
RECONF 2019-05-10
14:20
Tokyo Tokyo Tech Front RECONF2019-18 (To be available after the conference date) [more] RECONF2019-18
pp.97-102
SDM, ICD, ITE-IST [detail] 2018-08-07
09:00
Hokkaido Hokkaido Univ., Graduate School of IST M Bldg., M151 A model and circuit for an early auditory system based on vestibulo-ocular reflex
Tkahiro Ikegami, Masayuki Ikebe, Shinya Takamaeda, Masato Motomura, Tetsuya Asai (Hokkaido Univ.)
 [more]
RECONF 2018-05-25
15:10
Tokyo GATE CITY OHSAKI RECONF2018-5 (To be available after the conference date) [more] RECONF2018-5
pp.21-26
 Results 1 - 20 of 78  /  [Next]  
Choose a download format for default settings. [NEW !!]
Text format pLaTeX format CSV format BibTeX format
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)


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan