Session Details
[11p-E101-1~6]AI for Science and the Future of Research: Autonomous Research Processes and the Role of Human Researchers
Fri. Sep 11, 2026 1:00 PM - 5:00 PM JST
Fri. Sep 11, 2026 4:00 AM - 8:00 AM UTC
Fri. Sep 11, 2026 4:00 AM - 8:00 AM UTC
E101 (First Year Education Bld. E Block)
[11p-E101-1]Action plan for the Materials Innovation Strategy - Continue to win across the knowledge value chain and AI for Materials
〇Masashi Hattori1,2 (1.Ministry of Education, Culture, Sports, Science and Technology, 2.Cabinet Office)
[11p-E101-2]How Far Has Generative AI Reproduced “Intelligence”? — An Overview and the Essence of Intelligence
〇Yukinaga Azuma1 (1.SAI-Lab Co., Ltd.)
[11p-E101-3]Expanding Semiconductor Circuit Design Space through Researchers-AI Collaboration for Next-Generation AI Chip Design
〇Yasutaka Serizawa1,2, Kenta Naito1, Hisanori Matsumoto1 (1.Hitachi R&D, 2.Hitachi High-Tech)
[11p-E101-4]Expert Eye-Tracking Infused LLMs for Highly Interpretable Symbolic Regression
〇Kota Takahara1, Kentaro Kutsukake1,2, Shunta Harada1,2, Toru Ujihara1,2 (1.Nagoya Univ., 2.IMaSS Nagoya Univ.)
[11p-E101-5]Research and Development in the Era of AI for Science / AI for Materials: Perspectives from a Framework of Materials-Domain-Specific LLMs and RAG
〇Wataru Takahara1 (1.NAIST)
[11p-E101-6][Panel Discussion] Global Trends in AI for Science: Autonomous Research and the Future of Human Decision-Making
〇Shun Muroga1, Masashi Hattori2, Yukinaga Azuma3, Yasutaka Serizawa4, Wataru Takahara5 (1.AIST, 2.MEXT, 3.SAI-Lab, 4.Hitachi, Ltd, 5.NAIST)