School Colloquium——Scientific Computing and Artificial Intelligence: Synergizing Methodologies for Industrial Innovation
报告人:陈景润 (中国科学技术大学)
时间:2025-05-09 14:00-15:00
地点:智华楼四元厅
Abstract: As a surrogate paradigm complementing experimental approaches, scientific computing has emerged as an indispensable pillar in modern scientific discovery and engineering breakthroughs. This presentation elucidates cutting-edge integrations of artificial intelligence with scientific computing through two focal domains: industrial software development and embodied intelligent systems. Through concrete case studies, I will demonstrate how AI-enhanced computational frameworks transcend conventional methodological limitations by synergizing physical principles with data-driven learning. These hybrid methodologies not only resolve previously intractable problems but also demonstrate the potential to generate measurable industrial impacts.
Bio: Jingrun Chen is currently a professor at the School of Mathematical Sciences and the Suzhou Advanced Research Institute at the University of Science and Technology of China, specializing in scientific computing and artificial intelligence, and industrial software. He has been focusing on the development of methods that integrates the strengths of traditional and machine learning-based methods and their applications in industrial software.