1 citations · 1 across the 7 of their papers we have counts for
8 papers
Local information processing capacity: anatomy of computation in neuromorphic systems
Jiaxuan Chen, Daiki Nishioka, Yicheng Song +5
Many neuromorphic systems possess rich internal computational structures shaped by their physical dynamics. However, existing metrics characterize only global computation, leaving…
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 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…