AI for Science Forum

Literature Knowledge Base based on Large Language Model and Vector Database

Zhuofei Meng, Moqi Technology, Vice President

<Reconstruction of Scientific Research System in the AI Era>

Weinan E, Academician of Chinese Academy of Sciences, Dean of AI for Science Institute, Beijing Director of Center for Machine Learning Research, Peking University

<AI-Enabled Accurate Simulation of Materials>

David J. Srolovitz, Member of the United States National Academy of Engineering, Dean of Engineering and Professor of Mechanical Engineering, Chair of Materials Theory at the University of Hong Kong

<AI for Science: the Fifth Paradigm of Scientific Discovery>

Tieyan Liu, Assistant Managing Director of Microsoft Research Asia, Distinguished Scientist of Microsoft

<Predicting the Dynamics of the Atoms with Artificial Intelligence>

Roberto Car, Elected Member of the National Academy of Sciences, Professor of Chemistry, Princeton University

<AI for Proteins：Revolutionizing Bioeconomy>

Jinbo Xu, Distinguished Visiting Professor of Tsinghua University, Professor of Toyota Institute of Computing Technology, Chicago, USA

<AI4SD 2022: Development of a full stack for digital R&D & chemical process>

Alexei Lapkin, Professor of Sustainable Reaction Engineering, Cambridge University

How to build a vertically integrated scientific research system in the AI era

Dialogue guest:

Weinan E, Academician of Chinese Academy of Sciences/Dean of AI for Science Institute, Beijing/Director of Center for Machine Learning Research, Peking University

Tiejun Huang, Dean of Beijing Academy of Artificial Intelligence

Ting Lei, Assistant Dean of School of Materials Science and Engineering, Peking University

Qiang Zhang, Professor of the Department of Chemistry, Tsinghua University