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Revolutionary AI device utilizes few-molecule reservoir computing for blood glucose prediction

A collaborative research team from NIMS and Tokyo University of Science has successfully developed a cutting-edge artificial intelligence (AI) device that executes brain-like information processing through few-molecule reservoir computing.

Tokyo
Japan
Kazuya-terabe
Yoshihiro-iwasa
Takashi-tsuchiya
Daiki-nishioka
Research-center
Trainee-in-ionic-devices-group
Research-fellow-at-tokyo-university-of-science
Tokyo-university-of-science
Ionic-devices-group
Japan-society-for-the-promotion-of-science

Redox-Based Transistor as a Reservoir System for Neuromorphic Computing

Redox-Based Transistor as a Reservoir System for Neuromorphic Computing
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Tokyo
Japan
Yazaki
Japan-general
Daiki-nishioka
Tohru-higuchi
Takashi-tsuchiya
Tomoki-wada
Kazuya-terabe
Tokyo-university-of-science
Yazaki-memorial-foundation-for-science
National-institute-for-materials-science

Redox-Based Transistor as a Reservoir System for Neuromorphic Computing

Physical systems known as “reservoirs” are designed to emulate neural networks and meet the need for improved computational efficiency and speed. Overcoming the previous issues with compatibility, performance, and integration of such reservoir systems, researchers from Japan have recently developed an ion-gating transistor with improved reservoir states and short-term memory capabilities based on redox reactions.…

Tokyo
Japan
Takashi-tsuchiya
Kazuya-terabe
Tomoki-wada
Daiki-nishioka
Tokyo-university-of-science
National-institute-for-materials-science
Intelligent-systems
Redox-based-transistor
Reservoir-system
Advanced-intelligent-systems

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