PROGRAM / SYMPOSIUM B-4

Symposium B-4
Materials and Devices for Neuromorphic Computing and Engineering

Scope

The scope of this symposium broadly covers the recent topics on materials and devices for neuromorphic computing and engineering. Topics of interest to the symposium include, but are not limited to, contributions pertaining to artificial neurons and synapses, volatile and nonvolatile memories, hardware-based machine learning, organic and inorganic materials related to neuromorphic computing, iontronics and spintronics, smart sensing and stimuli-responsive systems, and interfacing biological neurons and electronics.

Topics

• Artificial neurons and synapses
• Volatile and nonvolatile memories
• Hardware-based machine learning
• Neuromorphic circuits and systems
• Brain-inspired computing
• Natural computing
• Organic and inorganic materials related to neuromorphic computing
• Iontronics and spintronics
• Smart sensing and stimuli-responsive systems
• Interfacing biological neurons and electronics

Symposium Keynote

Invited Speakers

• Chu-Chen Chueh, National Taiwan University: Organic All-Solid-State Synaptic Transistors: Solid-State Dielectric and Conjugated Polymer Design
• Satoshi Sunada, Kanazawa University: Fusing Photonics, Sensing, and Brain-Inspired Processing at the Edge
• Sang-Gyu Koh, Murata Manufacturing Co., Ltd.: Leaky-Integrator Devices Driven by Slow Ionic Transient Dynamics for Efficient Real-Time Information Processing
• Shunsuke Fukami, Tohoku University: Probabilistic bit and computing with stochastic spintronic devices
• Takashi Ikuno, Tokyo University of Science: Vision-Inspired Optoelectronic Synapses for Adaptive Physical Reservoir Computing
• Naoya Tate, Kyushu University: Optical Reservoir Computing based on Quantum-dot Engineering
• Masanobu Inubushi, Tokyo University of Science: Physical reservoir computing with generalized readout based on generalized synchronization

Organizers