On February 28th 2026, Yuta Miyasaka (D3), Department of Electrical Engineering and Information Systems, received BFBC 2026 Best Poster Award.
BFBC 2026 Best Poster Award
This award is presented to the most outstanding poster presenters at an international symposium on brain-inspired information processing devices and systems.
About awarded research
The title of the awarded work is “Characterizations of nonlinear dynamics in spatially-varying spin waves and their relations to reservoir computing capacities.”
In recent years, physical reservoir computing, which implements reservoir computing (a type of recurrent neural network) using physical phenomena, has attracted increasing attention for applications such as edge computing. In this study, we experimentally demonstrated that a spin-wave device can operate as a reservoir computing system. Furthermore, we proposed an index to quantitatively evaluate the nonlinear dynamics of spin waves, and successfully clarified the relationship between nonlinear physical phenomena and computational performance.
Your impression & future plan
During the poster presentation, I was pleased that many participants showed interest in our approach of addressing the challenge that the relationship between physics and computation is often unclear, by introducing a quantitative index.
Many challenges remain for physical reservoir computing to become useful in real-world applications. Based on the insights obtained in this study, I will continue working toward further performance improvement and proposing design guidelines.
BFBC 2026 Best Poster Awards:
https://www.nanospin.riec.tohoku.ac.jp/RIEC_Sympo/award.html
Kosuke Ito (M2), Tomohiro Akazawa (D2), both from the Department of Electrical Engineering and Information Systems, received IEEE EDS Japan Chapter Student Award
Professor Ryuji Matsuhashi, Department of Electrical Engineering and Information Systems, received 2024 Japan Institute of Energy Award (Academic Division)
