Yasuaki Ikeda

#edge computing Open access Sep 2026

Physical Reservoir Computing with Nonlinear Temperature Characteristics of Thermal Conductivity

Physical reservoir computing (PRC) has emerged as a low-cost machine-learning framework for edge computing applications, where real-time processing and energy efficiency are critical due to the rapid growth of data generated by Internet-of-Things devices. This study proposes a PRC scheme based on nonlinear heat-conduct...

Yuki Akura, Toshiyuki Tsuchiya, Seita Umemoto et al. · AIP Publishing · 0 citations

#edge computing Sep 2026

Physical reservoir computing using nonlinear heat conduction phenomena in alumina ceramic plates

Physical reservoir computing (PRC) has attracted considerable attention as a low-training-cost framework for edge computing. In this study, we propose a PRC system that uses nonlinear heat conduction in an alumina ceramic plate. In the proposed system, the input information is applied as heat, and the transient tempera...

Seita Umemoto, Yuki Matsunaga, Yasuaki Ikeda et al. · Journal of Applied Physics · 0 citations

#edge computing Open access Sep 2026

Physical Reservoir Computing Using Nonlinear Heat Conduction Phenomena in Alumina Ceramic Plates

Physical reservoir computing (PRC) has attracted considerable attention as a low-training-cost framework for edge computing. In this study, we propose a PRC system that uses nonlinear heat conduction in an alumina ceramic plate. In the proposed system, the input information is applied as heat, and the transient tempera...

Yasuaki Ikeda, Seita Umemoto, Jun Hirotani et al. · AIP Publishing · 0 citations