In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial intelligence (AI), has increased exponentially, creating a serious social ...

Physical reservoir computing (PRC) utilizing synaptic devices shows significant promise for edge AI. Researchers from the Tokyo University of Science have introduced a novel self-powered ...

Balancing electronic and ionic charge carriers in polymer nanofilms significantly improves physical reservoir computing, a brain-inspired approach that harnesses material dynamics instead of ...

A research team from NIMS and the Japan Fine Ceramics Center (JFCC) has developed a next-generation AI device—a hardware component for AI systems—that incorporates an iono-magnonic reservoir. This ...

So-called neuromorphic computing involves the use of physical artificial neurons to do computing in a way that is inspired by the human brain. With photonic neuromorphic computing these artificial ...

The novel physical reservoir computing device with controllable time constants mimics human synaptic behavior for efficient edge AI processing. The device can accurately detect human movement while ...