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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 99 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
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
NLP, NC
(Joint)
2020-01-24
16:30
Okinawa Miyakojima Marine Terminal Electronic implementation of a physical reservoir composed of discrete semiconductor devices
Shunya Suzuki, Koyo Minamikawa, Megumi Akai-Kasaya, Tetuya Asai (Hokkaido Univ.) NLP2019-99
Reservoir computing is a recurrent neural network that has loop structures. The main difference from typical recurrent n... [more] NLP2019-99
pp.73-78
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
15:40
Kagoshima National Park Resort Ibusuki CPSY2019-6 DC2019-6 (To be available after the conference date) [more] CPSY2019-6 DC2019-6
pp.51-56
DC, CPSY, IPSJ-ARC [detail] 2019-06-11
16:00
Kagoshima National Park Resort Ibusuki CPSY2019-7 DC2019-7 (To be available after the conference date) [more] CPSY2019-7 DC2019-7
pp.57-62
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
13:30
Tokyo Tokyo Tech Front RECONF2019-14 (To be available after the conference date) [more] RECONF2019-14
pp.73-78
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 21 - 40 of 99 [Previous]  /  [Next]  
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