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Novel Physical Reservoir Computing Device Mimics Human Synaptic Behavior for Efficient Edge AI Processing by Tokyo University of Science

The future of edge AI: Dye-sensitized solar cell-based synaptic device
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 consuming significantly low power. Credit: Takashi Ikuno / Tokyo University of Science, Japan

Artificial intelligence (AI) is becoming increasingly useful for the prediction of emergency events such as heart attacks, natural disasters, and pipeline failures. This requires state-of-the-art technologies that can rapidly process data. In this regard, reservoir computing, specially designed for time-series data processing with low power consumption, is a promising option.

It can be implemented in various frameworks, among which physical reservoir computing (PRC) is the most popular...

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