Workshop on Mathematics for Machine Learning and Its Application to Industry

Reference No.	2025a027
Type/Category	Grant for General Research-Workshop（Ⅱ）
Title of Research Project	Workshop on Mathematics for Machine Learning and Its Application to Industry
Principal Investigator	Takaharu Yaguchi（Department of Mathematics, Graduate School of Science, Kobe University・Professor）
Research Period	April 17,2025. - April 18,2025.
Keyword(s) of Research Fields	Scientific Machine Learning, Physics-Informed Neural Networks, Operator Learning
Abstract for Research Report	Recently, machine learning has made a significant impact on industry, and it is not only being used in various commercial products but is also becoming indispensable for improving the efficiency of industry and developing new products. Therefore, the reliability and robustness of machine learning methods, including neural networks and deep learning, are required. To this end, the construction of mathematical theories and methods based on the theories is highly important. In this workshop, we focus on scientific machine learning that can be applied to industry, including methods for physical modeling and simulation. Specifically, this workshop will bring together researchers who are working in the related fields, and provide an opportunity to discuss the mathematical aspects of these methods and strengthen collaboration among the researchers, thereby contributing to the development of reliable machine learning methods that can be used to accelerate physical modeling and simulation, and to the promotion and development of these methods in industry.
Organizing Committee Members (Workshop) Participants (Short-term Joint Usage)	Takaharu Yaguchi（Kobe University・Professor） Daisuke Tagami（Kyushu University・Associate Professor） Daisuke Furihata（The University of Osaka・Professor） Wil Shilders（TU Eindhoven・Professor）