Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
CCS |
2023-03-26 10:55 |
Hokkaido |
RUSUTSU RESORT (Hokkaido) |
A Stochastic Memory for Ultralow-Power IoT Devices and its Subthreshold CMOS Circuit Implementation Seiya Muramatsu, Kohei Nishida, Kota Ando (Hokkaido Univ.), Megumi Akai-Kasaya (Osaka Univ./Hokkaido Univ.), Tetsuya Asai (Hokkaido Univ.) CCS2022-68 |
We propose a CMOS circuit implementation of a memory circuit for ultralow-power IoT devices based on stochastic computin... [more] |
CCS2022-68 pp.31-35 |
CCS |
2022-03-27 14:50 |
Hokkaido |
RUSUTSU RESORT HOTEL & CONVENTION (Hokkaido, Online) (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. (Osaka, Online) (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. (Osaka, Online) (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 (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 |
CCS |
2021-03-29 13:25 |
Online |
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 (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 16:10 |
Okinawa |
Miyakojima Marine Terminal (Okinawa) |
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 (Okinawa) |
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 |
SDM, ED |
2015-02-06 10:15 |
Hokkaido |
Hokkaido Univ. (Hokkaido) |
Current Noise Characteristics in GaAs-based Nanowire FETs and Carbon Nanotube Devices Shinya Inoue, Seiya Kasai (Hokkaido Univ.), Agung Setiadi, Megumi Akai-Kasaya (Osaka Univ.) ED2014-148 SDM2014-157 |
For detection of charge dynamics of single molecules, we investigate current noises in GaAs nanowire FET and Carbon nano... [more] |
ED2014-148 SDM2014-157 pp.57-61 |