Session Details

[9p-B21-1~11]Advancing Applied Physics through the Integration of Machine Learning and Artificial Intelligence - in collaboration with OYO BUTURI

Wed. Sep 9, 2026 1:30 PM - 6:30 PM JST
Wed. Sep 9, 2026 4:30 AM - 9:30 AM UTC
B21 (Faculty of Engineering B Block)

[9p-B21-1]Opening Remarks and Symposium Overview

〇Hidehiro Asai1 (1.AIST)

[9p-B21-2]International Trends and Future Prospects for AI4S: Explainable AI for Scientific Discovery (XAI4S)

〇Masato Kotsugi1 (1.Tokyo Univ. of Sci.)

[9p-B21-3]Physics-informed Bayesian optimization for materials development

〇Yuki K Wakabayashi1 (1.NTT BRL)

[9p-B21-4]Introduction to Autonomous Research using Machine Learning and Robots

〇Taro Hitosugi1 (1.UTokyo)

[9p-B21-5]Semiconductor Manufacturing through the Lens of AI

〇Yukako Tanaka1 (1.KIOXIA)

[9p-B21-6]AI chip design and machine learning hardware

〇Takayuki Kawahara1 (1.Tokyo Univ. of Sci.)

[9p-B21-7]The Future of Brain-inspired Analog computing and Edge AI

〇Tomoyuki Sasaki1 (1.TDK)

[9p-B21-8]Materials Design with Generative Models and Accelerated Atomistic Simulation

〇Ryota Tomioka1 (1.MSR)

[9p-B21-9]AI in Research and Development: IP, Legal Risks, and a Paradigm Shift

〇Mari Ofuchi1 (1.JST-CRDS)

[9p-B21-10]Panel Discussion

Katsumasa Fujita1, Masato Kotsugi2, Yuki Wakabayashi3, Taro Hitosugi4, Yukako Tanaka5, Takayuki Kawahara2, Tomoyuki Sasaki6, Ryota Tomioka7, Ohfuchi Mari8, 〇Yui Ogawa3 (1.Osaka Univ., 2.TUS, 3.NTT, 4.UTokyo, 5.Kioxia, 6.TDK, 7.Microsoft Research, 8.JST-CRDS)

[9p-B21-11]Closing Remarks

〇Yui Ogawa1, Atsufumi Hirohata2 (1.NTT, 2.Tohoku Univ.)