5 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…
Spectral dynamics reservoir computing for high-speed hardware-efficient neuromorphic processing
Jiaxuan Chen, Ryo Iguchi, Sota Hikasa +1
Physical reservoir computing (PRC) is a promising brain-inspired computing architecture for overcoming the von Neumann bottleneck by utilizing the intrinsic dynamics of physical sy…
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…