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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] | 2023-11-15 15:30 |
Kumamoto | Civic Auditorium Sears Home Yume Hall (Primary: On-site, Secondary: Online) |
* Itsuki Akeno, Hiro Yamazaki, Tetsuya Asai, Kota Ando (Hokkaido Univ)  VLD2023-41 ICD2023-49 DC2023-48 RECONF2023-44 |
We propose a processor architecture for neural network (NN) training in edge and prototype it on an FPGA (Field--Program... [more] | VLD2023-41 ICD2023-49 DC2023-48 RECONF2023-44 pp.64-69 |
| VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] | 2023-11-17 14:50 |
Kumamoto | Civic Auditorium Sears Home Yume Hall (Primary: On-site, Secondary: Online) |
Hardware Compression Method Applying Bernoulli Approximation for Bayesian Neural Networks Taisei Saito, Kota Ando, Tetsuya Asai (Hokkaido Univ.) VLD2023-73 ICD2023-81 DC2023-80 RECONF2023-76 |
This study focuses on efficiently lightweighting Bayesian deep learning algorithms and implementing them on FPGA. It com... [more] | VLD2023-73 ICD2023-81 DC2023-80 RECONF2023-76 pp.221-226 |
| CCS | 2023-11-11 13:30 |
Toyama | Toyama Prefectural University | Evaluation of a Small Signal Detection Circuit for Artificial Action Potentials in an Alginate Gel Membrane Soichiro Yamakawa, Kota Ando, Tetsuya Asai (Hokkaido Univ.) CCS2023-26 |
[more] | CCS2023-26 pp.7-12 |
| CCS | 2023-11-11 13:55 |
Toyama | Toyama Prefectural University | Streaming Hardware Architecture for Ensemble Kalman Filters Kota Tamada, Yuki Abe, Tetsuya Asai (Hokkaido Univ.) CCS2023-27 |
The purpose of this study was to develop a streaming hardware architecture for an ensemble Kalman filter. We investigate... [more] | CCS2023-27 pp.13-18 |
| CCS, IN (Joint) |
2023-08-03 10:33 |
Hokkaido | Banya-no-yu | A Study of Memory Reduction Methods for Hardware Implementation of Reservoir Computing Sena Kojima, Koki Minagawa, Taisei Saito, Kota Ando, Tetsuya Asai (Hokkaido Univ.) CCS2023-18 |
[more] | CCS2023-18 pp.7-12 |
| CCS, IN (Joint) |
2023-08-03 10:51 |
Hokkaido | Banya-no-yu | Preprocessing Study for Detecting Out-of-Distribution Image Data with Bayesian Neural Network Koki Minagawa, Taisei Saito, Sena Kojima, Tetsuya Asai (Hokkaido Univ.) CCS2023-19 |
Out-of-distribution (OOD) data ditection is a critical issue in ensuring the security of machine learning models. In th... [more] |
CCS2023-19 pp.13-18 |
| CCS | 2023-03-26 10:35 |
Hokkaido | RUSUTSU RESORT | Acquisition of physical kinetics of machines by reservoir computing Sena Kojima, Koki Minagawa, Taisei Saito, Tetsuya Asai (Hokkaido Univ.) CCS2022-67 |
This report focuses on an anomaly detection application of a machine’s dynamical system using reservoir computing. We pr... [more] | CCS2022-67 pp.25-30 |
| 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 |
| CCS | 2023-03-26 11:35 |
Hokkaido | RUSUTSU RESORT | A Study on Hardware Architectures of Ensemble Kalman Filters towards High-Speed and Memory-Efficient Online Learning for Reservoir Computing Kota Tamada, Yuki Abe, Kose Yoshida, Tetsuya Asai (Hokkaido Univ) CCS2022-70 |
The objective of this study was to develop a hardware architecture for an ensemble Kalman filter in reservoir computing.... [more] | CCS2022-70 pp.42-47 |
| CCS | 2023-03-26 13:15 |
Hokkaido | RUSUTSU RESORT | Classification performance evaluation of untrained and trained data in Bayesian neural network and CNN ensemble Koki Minagawa, Taisei Saito, Sena Kojima, Tetsuya Asai (Hokkaido Univ.) CCS2022-71 |
The ditection of untrained (Out-of-Distribution; OOD) data is one of the problems in neural networks. In this study, we... [more] |
CCS2022-71 pp.48-53 |
| CCS | 2023-03-26 14:15 |
Hokkaido | RUSUTSU RESORT | A novel optimizer architecture with multi-phase quantization towards online-learning edge AI hardware Itsuki Akeno, Tetsuya Asai, Kota Ando (Hokkaido Univ.) CCS2022-74 |
[more] | CCS2022-74 pp.63-68 |
| 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 |
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