BIMSA > Data Analysis and Problem Solving Seminar Data Analysis and Problem Solving Seminar 融合第一性原理的人工智能
融合第一性原理的人工智能
Organizer
Xiaoming John Zhang
Speaker
Xiaoming John Zhang
Time
Friday, May 29, 2026 3:00 PM - 4:00 PM
Venue
A3-1-301
Online
Zoom 204 323 0165 (BIMSA)
Abstract
近年来，物理人工智能（Physical AI）作为人工智能的新兴范式取得显著进展。该领域通过将第一性原理与机器学习相结合，缩小AI 世界模型与实际物理系统之间的差距，实现对物理环境的高效感知、因果推理、生成及交互。面对大量科学与工程问题中数据量有限但有一定物理知识积累的场景，本讲座首先介绍了将物理规律与 AI 算法结合的三个方面。然后通过三个实际案例，展示了物理 AI 在理解并构建与物理世界一致的模型中的潜力，并提出可能的进一步研究方向。
Speaker Intro
Dr. Zhang received his bachelor's, master's, and doctor's degrees from Zhejiang University, Peking University, and Massachusetts Institute of Technology. He is currently a professor at the Beijing Institute of Mathematical Sciences and Applications, in the artificial intelligence and machine learning research group. He is currently interested in developing machine learning algorithms driven by both data and existing domain knowledge, and applying them to the interpretation and quantification of various physical, biological and social phenomena.