4月の学内共同研究促進トークは、数理情報学研究室の池田和司先生にご講演いただきました。

タイトルと概要は以下になります。

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池田和司 教授（数理情報学研究室）

TITLE:
Common diffusion models in artificial intelligence and biological phenomena
(人工知能と生物現象の共通拡散モデル)

ABSTRACT：

Recent theoretical analyses of deep learning reveal that its essence is diffusion and reverse diffusion. Diffusion is also important in biological phenomena since reaction-diffusion models play an important role in pattern generation. This project aims to characterize diffusion/reverse diffusion in both fields and to utilize the knowledge of one field to the other.
Thanks to the support of the DSC Grants for new issue identification activities, we improved the deep learning analysis and found a diffusion process in biological phenomena.