The 83rd JSAP Autumn Meeting 2022

Presentation information

Symposium (Oral)

Symposium » In-materio AI computing

[20p-M206-1~11] In-materio AI computing

Tue. Sep 20, 2022 1:30 PM - 6:15 PM M206 (Multimedia Research Hall)

Hirofumi Tanaka(Kyushu Inst. of Tech.), Takuya Matsumoto(Osaka Univ.)

1:30 PM - 1:45 PM

[20p-M206-1] Introductory talk: In-materio AI computing

Takuya Matsumoto1 (1.Osaka Univ.)

Keywords:Neuromorphic networks, Molecular networks, Reservoir computing

In-materio neuromorphic network utilizing intrinsic properties and structures of various physical system attracts much attention for reservoir computing and optimization. In the common features of physical neuromorphic computing are fixed weight of synapse and/or conservation of carrier that is suitable for in-materio processing.