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Committee Date Time Place Paper Title / Authors Abstract Paper #
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 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
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