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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SCE | 2024-01-23 13:35 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
[Invited Talk]
Research on Novel Binary Neural Processing Elements Using Single Flux Quantum Circuits Zeyu Han, Zongyuan Li, Yamanashi Yuki, Yoshikawa Nobuyuki (Yokohama National Univ.)  SCE2023-23 |
Superconducting convolutional neural networks, based on single flux quantum (SFQ) circuits, hold significant potential d... [more] | SCE2023-23 pp.1-6 |
| SCE | 2023-10-31 10:00 |
Miyagi | RIEC, Tohoku Univ. (Primary: On-site, Secondary: Online) |
Design of a Modularized Circuits Library for Binary Convolutional Neural Network Accelerator using Single Flux Quantum Circuits Zeyu Han, Zongyuan Li, Yuki Yamanashi, Nobuyuki Yoshikawa (Yokohama National Univ.) SCE2023-17 |
To implement a binary neural network (BNN) based on SFQ circuits, we designed a modularized circuits library based on th... [more] | SCE2023-17 pp.26-31 |
| NLP, CAS | 2023-10-06 16:00 |
Gifu | Work plaza Gifu | Operaton analysis in sparse binary neural networks Hiroki Nonaka, Toshimichi Saito (HU) CAS2023-45 NLP2023-44 |
This paper studies periodic orbits in a dynamic binary neural network constructed by the signum activation function and ... [more] | CAS2023-45 NLP2023-44 pp.66-69 |
| SCE | 2023-08-08 15:15 |
Kanagawa | Yokohama National Univ. (Primary: On-site, Secondary: Online) |
Design and Implementation of Neuron Circuit Using Adiabatic Quantum-Flux-Parametron Logic Tomoharu Yamauchi, Hao San (Tokyo City Univ.), Naoki Takeuchi (AIST/Yokohama National Univ.), Nobuyuki Yoshikawa (Yokohama National Univ.), Olivia Chen (Tokyo City Univ.) SCE2023-11 |
Adiabatic quantum-flux-parametron (AQFP) logic is a promising technology for future energy-efficient，high performance in... [more] | SCE2023-11 pp.53-57 |
| NLP, MSS | 2023-03-15 14:00 |
Nagasaki | (Primary: On-site, Secondary: Online) |
On binary periodic orbits in sparse binary neural networks Hiroki Nonaka, Toshimichi Saito (HU) MSS2022-71 NLP2022-116 |
This paper studies periodic orbits in a dynamic binary neural network constructed by the signum activation function and ... [more] | MSS2022-71 NLP2022-116 pp.49-52 |
| SCE | 2023-01-20 13:45 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Design and Implementation of Power Consumption Reduction Binary Neural Networks Using Adiabatic Quantum-Flux-Parametron Logic Tomoharu Yamauchi, Hao San (Tokyo City Univ.), Nobuyuki Yoshikawa (Yokohama National Univ.), Olivia Chen (Tokyo City Univ.) SCE2022-14 |
Adiabatic quantum-flux-parametron (AQFP) logic is a promising technology for future energy-efficient，high performance in... [more] | SCE2022-14 pp.6-11 |
| CCS | 2022-11-17 13:00 |
Mie | (Primary: On-site, Secondary: Online) |
A clustering system based on binary associative memories Kazuma Kiyohara, Kento Saka, Toshimichi Saito (HU) CCS2022-43 |
This paper studies application of binary associative memories to clustering systems of binary data. The binary associati... [more] | CCS2022-43 pp.1-4 |
| CCS | 2022-11-17 13:25 |
Mie | (Primary: On-site, Secondary: Online) |
Analysis of various periodic orbits in permutation binary neural networks Mikito Onuki, Taiji Okano, Toshimichi Saito (HU) CCS2022-44 |
This paper studis a permutation binary neural network characterized by local binary connection, global permutation conne... [more] | CCS2022-44 pp.5-8 |
| NC, MBE (Joint) |
2022-09-30 09:40 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
On optimization of periodic orbits in permutation binary neural networks Kento Saka, Toshimichi Saito (HU) NC2022-38 |
This paper introduces a permutation binary neural network characterized by local binary connection and global permutatio... [more] | NC2022-38 pp.24-27 |
| VLD, HWS [detail] | 2022-03-07 15:30 |
Online | Online | High-throughput In-Memory Accelerator for Binarized Neural Network based on 8T-SRAM Hiroto Tagata, Hiromitsu Awano (Kyoto Univ.) VLD2021-88 HWS2021-65 |
An in-memory accelerator for binary deep neural networks is presented. The proposed circuit doubled the execution spee... [more] |
VLD2021-88 HWS2021-65 pp.63-68 |
| RCS, SR, SRW (Joint) |
2022-03-04 16:25 |
Online | Online | Behavioral Modeling of RF Power Amplifiers using Binary Neural Network Taishi Watanabe, Takeo Ohseki, Kosuke Yamazaki (KDDI Research) RCS2021-293 |
With the increase in bandwidth in mobile communication systems, the effect of performance degradation due to nonlinear d... [more] | RCS2021-293 pp.207-211 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-23 10:15 |
Online | Online | Analog CMOS implementation of majority logic for neuromorphic circuit applications Satoshi Ono, Satoshi Moriya, Yuka Kanke, Hideaki Yamamoto (Tohoku Univ.), Yasushi Yuminaka (Gunma Univ.), Shigeo Sato (Tohoku Univ.) NC2021-41 |
A majority logic circuit is a circuit whose output is the majority value of multiple binary inputs. In addition to its c... [more] | NC2021-41 pp.45-48 |
| MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-29 10:50 |
Online | Online | Classification of binary data based on binary neural networks Kento Saka, Tomoyuki Togawa, Toshimichi Saito (HU) NC2020-8 |
This paper presents a novel application of binary neural networks to clustering of data sets. The network characterized... [more] |
NC2020-8 pp.1-4 |
| MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-29 11:15 |
Online | Online | Dynamic binary neural networks with time-variant parameters Takumi Suzuki, Shota Anzai, Toshimichi Saito (HU) NC2020-9 |
This paper studies a three-layer dynamic binary neural network with time-variant parameters and its application. The net... [more] | NC2020-9 pp.5-8 |
| NLP, CAS | 2019-10-22 16:45 |
Gifu | Gifu Univ. | On transition from periodic orbits to fixed points in simple neural networks Yuki Kawamura, Toshimichi Saito (HU) CAS2019-37 NLP2019-77 |
A dynamic binary neural network is a recurrent-type neural network characterized by cross-connection parameters and sig... [more] |
CAS2019-37 NLP2019-77 pp.71-75 |
| MBE, NC | 2019-10-12 10:00 |
Miyagi | Stability of Periodic Orbits in 3-Layer Dynamic Binary Neural Networks Seitaro Koyama, Toshimichi Saito (HU) MBE2019-39 NC2019-30 |
The 3-layer dynamic binary neural networks (3-DBNNs) are characterized by ternary connection parameters and signum activ... [more] | MBE2019-39 NC2019-30 p.51 |
|
| NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] | 2019-06-17 13:00 |
Okinawa | Okinawa Institute of Science and Technology | Analysis and application of periodic orbits in dynamic binary neural networks Shota Anzai, Seitaro Koyama, Toshimichi Saito (HU) NC2019-1 |
This paper studies a simple dynamic binary neural network and its application. In the network, each neuron transforms ... [more] |
NC2019-1 p.1 |
| NC, MBE (Joint) |
2019-03-04 16:35 |
Tokyo | University of Electro Communications | Application of dynamic binary neural networks to central pattern generators Shota Anzai, shunsuke aoki, seitaro koyama, Toshimichi Saito (HU) NC2018-61 |
This paper studies basic dynamics of simple dynamic binary neural networks and their applications. The network is chara... [more] |
NC2018-61 pp.95-98 |
| MBE, NC (Joint) |
2018-05-19 15:20 |
Toyama | Univ. of Toyama | On Stability of Sparse Binary Neural Networks Seitaro Koyama, Shunsuke Aoki, Toshimichi Saito (HU) NC2018-3 |
The dynamic binary neural network is characterized by ternary connection parameters and the signum activaion function. ... [more] |
NC2018-3 pp.9-13 |
| MBE, NC, NLP (Joint) |
2018-01-27 11:20 |
Fukuoka | Kyushu Institute of Technology | Stability and periodic orbits in dynamic binary neural newtorks Seitaro Koyama, Shunsuke Aoki, Toshimichi Saito (HU) NLP2017-97 |
The dynamic binary neural network is characterized by the signum activation function and ternary connection parameters. ... [more] | NLP2017-97 pp.59-62 |
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