January 10
15:00 (TBD) | (For SANKEN member) Depart from SANKEN by bus |
18:00 | Registration & Reception |
January 11
8:30 | Registration | |
Opening Session | ||
9:00-9:20 | Greeting Director Tohru Sekino | |
9:20-10:00 | Yun-Nung (Vivian) Chen Towards Human-Like Conversational AI | Chair: Prof. Komatani |
10:00-10:40 | Kazunori Komatani Toward Empathic Dialogue Agents with Autonomous Knowledge Acquisition | Chair Prof. Numao |
Break (10:40-11:00) | ||
Session1 Chair: Prof. M. Numao | ||
11:00-11:30 ONLINE | Koki Nagano AI-Mediated Telepresence | Chair: Prof. Y. Makihara |
11:30-11:50 | Satoshi Hara Explainable AI and Decision Tree | Chair: Prof. Washio |
Lunch (11:50-14:00) | ||
Session2 Chair: Prof. H. Tanaka | ||
14:00-14:40 | Seungwu Han Application of machine learning potentials to nanoscale materials and processes | |
14:40-15:10 | Ryo Yoshida (tentative) Machine Learning for Accelerated Materials Discovery | |
15:10-15:40 | Mikiya Fujii Digital material-process discovery with Bayesian optimization and generative models | |
15:40-16:00 | Emi Minamitani Application of persistent homology for structure-properties relationship in amorphous materials | |
Group Photo and Break (16:00-16:30) | ||
Poster Session (16:30-18:30) | ||
Banquet (19:00-21:00) AI Concert: For more information |
January 12
8:10 | Registration | |
Session 3 Chair: Prof. S. Kuroda | ||
8:30-9:00 | Satoshi Maeda Reaction path network for predicting chemical reactions: Its calculation, analysis and database | Chair: Prof. T. Suzuki |
9:00-9:30 | Nobuyasu Koga Exploration of novel protein folds through de novo design | Chair: Prof. T. Nagai |
9:30-9:50 | Taishi Kakizuka Trans-Scale Scope AMATERAS, Big Image Data, and Machine Learning: Prospects for Application in Heart Disease Research and Drug Discovery | Chair: Prof. T. Nagai |
9:50-10:30 | Nozomu Yachie A video camera and a time machine of the cell | Chair: Prof. T. Nagai |
Lunch & Excursion (10:30-13:30) For more information | ||
Session 4 Chair: Prof. T. Kozawa | ||
13:30-14:10 | Rosskopf Andreas Physics informed neural networks (PINN) | |
14:10-14:40 | Tomoki Nagai Quantum Chemistry in Quantum Computing using Real Quantum Device; A Use Case for Photoresist Material Development | |
14:40-15:10 | Yasuhiro Mizutani Single pixel imaging using estimated uncertainty for metrology | |
15:10-15:30 | Yuqing Jin Application of machine learning to development of resist materials and lithography processes –image recognition, feature extraction, correlation analysis, and Bayesian optimization | |
Closing |