1 citations · 1 across the 5 of their papers we have counts for
5 papers
Spoken Digit Recognition and Speaker Classification by Nonlinear Interfered Spin Wave-Based Physical Reservoir Computing
Sota Hikasa, Wataru Namiki, Daiki Nishioka +4
Recently, artificial-intelligence (AI) technologies have been increasingly utilized in a wide range of real-world applications. Speech recognition is one of these practical AI task…
Multi-time scale and high performance in-material reservoir computing using graphene-based ion-gating reservoir
Daiki Nishioka, Hina Kitano, Wataru Namiki +2
The rising energy demands of conventional AI systems underscore the need for efficient computing technologies like brain-inspired computing. Physical reservoir computing (PRC), lev…
A Redox-based Ion-Gating Reservoir, Utilizing Double Reservoir States in Drain and Gate Nonlinear Responses
Tomoki Wada, Daiki Nishioka, Wataru Namiki +3
We have demonstrated physical reservoir computing with a redox-based ion-gating reservoir (redox-IGR) comprising LixWO3 thin film and lithium ion conducting glass ceramic (LICGC).…
Experimental Demonstration of High-Performance Physical Reservoir Computing with Nonlinear Interfered Spin Wave Multi-Detection
Wataru Namiki, Daiki Nishioka, Yu Yamaguchi +3
Physical reservoir computing, which is a promising method for the implementation of highly efficient artificial intelligence devices, requires a physical system with nonlinearity,…
Edge-Of-Chaos Learning Achieved by Ion-Electron Coupled Dynamics in an Ion-Gating Reservoir
Daiki Nishioka, Takashi Tsuchiya, Wataru Namiki +5
Physical reservoir computing has recently been attracting attention for its ability to significantly reduce the computational resources required to process time-series data. Howeve…