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Reservoir computing with MEMS resonators

Research Project

Project/Area Number 21F20799
Research Category

Grant-in-Aid for JSPS Fellows

Allocation TypeSingle-year Grants
Section外国
Review Section Basic Section 20010:Mechanics and mechatronics-related
Research InstitutionKyoto University

Principal Investigator

土屋 智由  京都大学, 工学研究科, 教授 (60378792)

Co-Investigator(Kenkyū-buntansha) MEFFAN ROBERT CLAUDE  京都大学, 工学(系)研究科(研究院), 外国人特別研究員
Project Period (FY) 2021-04-28 – 2023-03-31
Project Status Completed (Fiscal Year 2022)
Budget Amount *help
¥2,300,000 (Direct Cost: ¥2,300,000)
Fiscal Year 2022: ¥1,100,000 (Direct Cost: ¥1,100,000)
Fiscal Year 2021: ¥1,200,000 (Direct Cost: ¥1,200,000)
KeywordsReservoir Computing / Surface Acoustic Wave / Phase modulation / Noise resiliency / Neuromorphic computing / noise resiliency / neuromorphic computing
Outline of Research at the Start

本研究ではMEMS共振器を用いた物理リザバーコンピューティングの可能性について検討します。リザバーコンピュータ(RC)はニューラルネットワークの一種で非線形あり、ランダムなリザバーネットワークを構成することで時間データなどの解析応用においてネットワーク構成のための計算コストを低減します。MEMS技術を用いたリザバーは実用的で、かつ、センサと一体化可能であり有用です。ここでは単結晶シリコンのマイクロ、ナノ機械の非線形共振器をリザバーとして用いることを目指して,単一の共振器の非線形性について解析し、その非線形領域を利用したリザバーの構築技法についての検討を行います。

Outline of Annual Research Achievements

The goal of this work is to examine if the time-multiplexed reservoir computing strategy can enable non-linear processing for SAW devices. If this is shown to be possible, it would allow high performance real-time learning to be performed on a substrate 10^5 times smaller than competing optical implementations. This would allow high performance implementations of reservoir computer to be added to lightweight and portable devices.
To evaluate the research proposal, custom Surface Acoustic Wave resonators are to be fabricated, and new experimental apparatus designed and implemented. A range of SAW resonators, and other SAW devices are designed, and intended to be tested. The fabrication is possible through use Kyoto University and the Nano-hub’s equipment.
Following successful fabrication of the SAW devices, the reservoir computing system can be tested by designing and building supporting apparatus.
The resulting reservoir computer can then be compared to other implementations through the application of well-established reservoir computing benchmark tasks, which will allow direct comparison of one technology to another. In this case, we select the binary parity task.
A SAW resonator reservoir computer has been successfully implemented, using electronic memory in place of a SAW delay line. This is the first demonstration of a reservoir computer using a SAW devices, and can pave the way to a fully integrated delay line reservoir computer at a physical size which is practical for use in portable electronics.

Research Progress Status

令和4年度が最終年度であるため、記入しない。

Strategy for Future Research Activity

令和4年度が最終年度であるため、記入しない。

Report

(2 results)
  • 2022 Annual Research Report
  • 2021 Annual Research Report
  • Research Products

    (3 results)

All 2023 2022 Other

All Journal Article (1 results) (of which Peer Reviewed: 1 results) Presentation (1 results) (of which Int'l Joint Research: 1 results) Remarks (1 results)

  • [Journal Article] Non-linear processing with a Surface Acoustic Wave reservoir computer2023

    • Author(s)
      Claude Meffan, Taiki Ijima, Amit Banerjee, Jun Hirotani, Toshiyuki Tsuchiya
    • Journal Title

      Microsystem Technologies

      Volume: -

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed
  • [Presentation] A non-linear SAW resonator as a reservoir computing node2022

    • Author(s)
      Claude Meffan, Amit Banerjee, Jun Hirotani, Toshiyuki Tsuchiya
    • Organizer
      2022 JSME-IIP/ASME-ISPS Joint Conference on Micromechatronics for Information and Precision Equipment (MIPE 2022), Nagoya, Japan, Aug. 28-31, 2022, A2-2-03.
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Remarks] SAW Devices for Reservoir Computing

    • URL

      https://www.nms.me.kyoto-u.ac.jp/en/saw-reservoir/

    • Related Report
      2022 Annual Research Report

URL: 

Published: 2021-05-27   Modified: 2024-03-26  

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