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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 12 of 12  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
CCS 2023-03-26
10:55
Hokkaido RUSUTSU RESORT 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 2023-03-26
11:15
Hokkaido RUSUTSU RESORT Hardware Implementation of Predictive Coding Networks based on the Free Energy Principle
Naruki Hagiwara, Takafumi Kunimi, Kota Ando (Hokkaido Univ.), Megumi Akai (Hokkaido Univ./Osaka Univ.), Tetsuya Asai (Hokkaido Univ.) CCS2022-69
Agents form generative models in the brain through perception and actions for adapting to the external environment. In t... [more] CCS2022-69
pp.36-41
MIKA
(3rd)
2022-10-15
14:10
Niigata Niigata Citizens Plaza
(Primary: On-site, Secondary: Online)
[Invited Talk] -
Akai-Kasaya Megumi (Hokkaido Univ)
 [more]
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
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
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
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
SDM, ED 2015-02-06
10:15
Hokkaido Hokkaido Univ. 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
 Results 1 - 12 of 12  /   
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