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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CCS | 2024-03-27 13:25 |
Hokkaido | RUSUTSU RESORT | Physical Reservoirs Replication using a small-scale digital calibration reservoir Shohei Tatsumi, Yuki Abe, Kohei Nishida, Tetsuya Asai (Hokkaido Univ)  CCS2023-43 |
We propose a technique for replicating physical reservoirs using a small-scale digital calibration reservoir. Recently... [more] |
CCS2023-43 pp.24-29 |
| NC, MBE (Joint) |
2024-03-11 10:50 |
Tokyo | The Univ. of Tokyo (Primary: On-site, Secondary: Online) |
Proposal of Quaternion Reservoir Computing for Spatiotemporal Prediction and Anomaly Detection Kitoshi Kawai, Bungo Konishi, Ryo Natsuaki, Akira Hirose (UTokyo.) NC2023-44 |
Synthetic aperture radar (SAR) is a remote sensing technology that uses microwaves to generate high-resolution images of... [more] | NC2023-44 pp.7-12 |
| NC, MBE (Joint) |
2024-03-11 11:15 |
Tokyo | The Univ. of Tokyo (Primary: On-site, Secondary: Online) |
Multi reservoir computing for spatiotemporal data mining Daisuke Takeda, Junya Kato, Ryo Natsuaki, Akira Hirose (UT) NC2023-45 |
Recently, advancements in sensor technology, Internet of Things (IoT) devices, high-speed mobile communication, and the ... [more] | NC2023-45 pp.13-18 |
| NC, MBE (Joint) |
2024-03-11 11:40 |
Tokyo | The Univ. of Tokyo (Primary: On-site, Secondary: Online) |
Time-series Forecasting Coding: Proposal of A New Processing Method Developed from Predictive Coding for Recurrent Neural Networks Yuto Wakui, Junya Kato, Ryo Natsuaki, Akira Hirose (UTokyo.) NC2023-46 |
This paper proposes a new method for processing time-series data in recurrent neural networks (RNNs), namely, time-serie... [more] | NC2023-46 pp.19-24 |
| SDM | 2024-01-31 15:50 |
Tokyo | KIT Toranomon Graduate School (Primary: On-site, Secondary: Online) |
[Invited Talk]
Physical Reservoir Computing using HZO-based FeFETs for Edge-AI Applications Shin-ichi Takagi, Kasidit Toprasertpong, Eishin Nkako, Rikuo Suzuki, Shin-Yi Min, Mitsuru Takenaka, Ryosho Nakane (The Univ. of Tokyo) SDM2023-80 |
Physical reservoir computing (RC) using ferroelectric HfZrO2/Si FeFETs is proposed and demonstrated for application to e... [more] | SDM2023-80 pp.24-27 |
| NC, MBE, NLP, MICT (Joint) [detail] |
2024-01-25 16:00 |
Tokushima | Naruto University of Education | Design of an Efficient Activity Classification Model Focusing on the Characteristics of Egocentric Videos Kohei Baba, Kantaro Fujiwara (University of Tokyo), Gouhei Tanaka (Nagoya Institute of Technology) NLP2023-116 MICT2023-71 MBE2023-62 |
There are situations where egocentric videos have to be processed on wearable devices with limited computational resourc... [more] | NLP2023-116 MICT2023-71 MBE2023-62 pp.153-157 |
| QIT (2nd) |
2023-12-17 17:30 |
Okinawa | OIST (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Loss-Assisted Space Expansion of a Photon-Based Quantum Reservoir
-- Preparatory Study for Bosonic Quantum Reservoir Computing -- Akio Yoshizawa (AIST) |
Reservoir-computing systems consist of an input layer, the reservoir, and the output layer. As opposed to the convolutio... [more] | |
| QIT (2nd) |
2023-12-17 17:30 |
Okinawa | OIST (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Quantum Reservoir Computing Utilizing Quantum Chaotic Systems with Heisenberg XXZ Spin Chains Shu Komatsugawa, Akihisa Tomita, Atsushi Okamoto (Hokkaido Univ.) |
Reservoir Computing (RC) is a machine learning method that aims to achieve both high learning performance and low learni... [more] | |
| NLP | 2023-11-28 11:15 |
Okinawa | Nago city commerce and industry association | Dynamics of Reservoir in Echo State Network Shion Yoshida, Tohru Ikeguchi (TUS) NLP2023-62 |
Reservoir computing is one of the frameworks for machine learning for fast and highly accurate analysis of time series a... [more] | NLP2023-62 pp.15-20 |
| VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] | 2023-11-17 15:40 |
Kumamoto | Civic Auditorium Sears Home Yume Hall (Primary: On-site, Secondary: Online) |
High-Level Synthesis Implementation of a Reservoir Computing based on Chaotic Boltzmann Machine
-- Improving scalability and efficiency of sparse matrix multiplication through a dedicated data compression in external memory -- Shigeki Matsumoto, Yuki Ichikawa, Nobuki Kajihara (IVIS), Hakaru Tamukoh (kyutech) VLD2023-75 ICD2023-83 DC2023-82 RECONF2023-78 |
This paper reports on an FPGA implementation of Chaotic Boltzmann Machine Reservoir Computing (CBM-RC). The reservoir wi... [more] | VLD2023-75 ICD2023-83 DC2023-82 RECONF2023-78 pp.231-236 |
| CCS | 2023-11-11 14:20 |
Toyama | Toyama Prefectural University | On the Nonclassicality of a Photon-Based Quantum Reservoir
-- Preliminary Report for Bosonic Quantum Reservoir Computing -- Akio Yoshizawa (AIST) CCS2023-28 |
The reservoir-computing neural network in general consists of an input layer, the reservoir, and the output layer. Only ... [more] | CCS2023-28 pp.19-24 |
| NC, MBE (Joint) |
2023-10-27 14:45 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Adaptive motion generation for a redundant robot arm using an echo state network Hiroshi Atsuta, Yuji Kawai (Osaka Univ.), Minoru Asada (IPUT/Osaka Univ./Chubu Univ./NICT) NC2023-28 |
Teaching playback is a convenient method to instruct robots how to move. However, this method has an issue of excessive ... [more] | NC2023-28 pp.17-22 |
| NC, MBE (Joint) |
2023-10-28 10:45 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
A design of ultra-low power reservoir computing system with analog CMOS spiking neural network circuits Satoshi Ono, Satoshi Moriya, Hideaki Yamamoto (Tohoku Univ.), Yasushi Yuminaka (Gunma Univ.), Yoshihiko Horio, Shigeo Sato (Tohoku Univ.) NC2023-29 |
Spiking neural network (SNN) is expected to be applied to edge computing due to its low power consumption when implement... [more] | NC2023-29 p.23 |
| NC, MBE (Joint) |
2023-10-28 11:10 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Multi-step ahead time series prediction based on hierarchical reservoir computing with multiple memory capacity. Wenkai Yu, Satoshi Moriya, Hideaki Yamamoto, Shigeo Sato (Tohoku Univ) NC2023-30 |
Reservoir computing has proven to be an efficient model in many areas, such as time series prediction. However, multi-st... [more] | NC2023-30 p.24 |
| NC, MBE (Joint) |
2023-10-28 11:35 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Lightweight modular reservoir computing with the Bernoulli weight distribution Yuji Kawai (Osaka Univ.), Minoru Asada (IPUT/Osaka Univ./Chubu Univ./NICT) NC2023-31 |
A modular reservoir computing, namely reservoir of basal dynamics (reBASICS), has been proposed for time series learning... [more] | NC2023-31 pp.25-30 |
| SIS, ITE-BCT | 2023-10-13 09:30 |
Yamaguchi | HISTORIA UBE (Primary: On-site, Secondary: Online) |
[Invited Talk]
In-sensor Material reservoir computing devices including tactile computing devices for robot applications Hirofumi Tanaka (Kyutech) SIS2023-20 |
Reservoir arithmetic elements, which are expected to be used as lighter-task AI hardware systems, were fabricated in ran... [more] | SIS2023-20 pp.25-28 |
| NLP, CAS | 2023-10-06 10:30 |
Gifu | Work plaza Gifu | Prediction and detection for extreme events of semiconductor laser using echo state network Shoma Ohara (Tokyo Univ. of Tech.), Kazutaka Kanno, Atsushi Uchida (Saitama Univ.), Hiroaki Kurokawa (Tokyo Univ. of Tech.) CAS2023-33 NLP2023-32 |
Intermittent chaos is a one of nonlinear dynamics of a semiconductor laser with optical-feedback. Intermittent chaos con... [more] | CAS2023-33 NLP2023-32 p.13 |
| NLP, CAS | 2023-10-06 16:20 |
Gifu | Work plaza Gifu | Investigating the Learning Performance of Hysteresis Reservoir Computing Kenta Yokoyama, Kenya Jin'no (Tokyo City Univ.) CAS2023-46 NLP2023-45 |
Reservoir computing can acquire larger memory capacity and higher expressive power by properly designing the internal st... [more] | CAS2023-46 NLP2023-45 pp.70-73 |
| SeMI, RCS, RCC, NS, SR (Joint) |
2023-07-12 15:50 |
Osaka | Osaka University Nakanoshima Center + Online (Primary: On-site, Secondary: Online) |
[Invited Talk]
Neural computing in wireless IoT network Naoki Wakamiya (Osaka Univ.) RCC2023-15 NS2023-33 RCS2023-85 SR2023-32 SeMI2023-26 |
Collection, management, and processing data at the edge of an IoT system is effective in distribution of communication a... [more] | RCC2023-15 NS2023-33 RCS2023-85 SR2023-32 SeMI2023-26 p.8(RCC), p.8(NS), p.32(RCS), p.32(SR), p.26(SeMI) |
| CCS, NLP | 2023-06-09 13:55 |
Tokyo | Tokyo City Univ. | Analysis of Vocal and Ventricular Folds Data Using Machine Learning Takumi Inoue, Kota Shiozawa, Isao Tokuda (Rits Univ) NLP2023-24 CCS2023-12 |
Vocal fold vibration is a nonlinear phenomenon in the real world. In humans, vocal folds can produce complex sounds by i... [more] | NLP2023-24 CCS2023-12 pp.49-52 |
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