1 citations · 1 across the 5 of their papers we have counts for
5 papers
A high-performance deep reservoir computing experimentally demonstrated with ion-gating reservoirs
Daiki Nishioka, Takashi Tsuchiya, Masataka Imura +3
While physical reservoir computing (PRC) is a promising way to achieve low power consumption neuromorphic computing, its computational performance is still insufficient at a practi…
Few-molecule reservoir computing experimentally demonstrated with surface enhanced Raman scattering and ion-gating stimulation
Daiki Nishioka, Yoshitaka Shingaya, Takashi Tsuchiya +2
Reservoir computing (RC) is a promising solution for achieving low power consumption neuromorphic computing, although the large volume of the physical reservoirs reported to date h…
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…