AI-Driven Scientific Knowledge Discovery is the sixth lecture of ScienceOne.

Details of the Lecture

In this session, Prof. LI Kai will This lecture aims to provide a systematic introduction to AI-driven scientific knowledge discovery. It will begin by focusing on knowledge discovery methods centered on equation discovery and demonstrating their typical applications across multidisciplinary fields. Building on this foundation, the lecture will further explore automated algorithm discovery and end-to-end automated research systems, offering a comprehensive overview of current developments and emerging trends in AI-empowered scientific research.

Speaker Profile

LI Kai is a professor at the Institute of Automation, Chinese Academy of Sciences. His research interests include reinforcement learning, large language models, and AI for science. He has published more than 50 papers in leading journals and conferences, including Artificial Intelligence, ICML, NeurIPS, ICLR, AAAI, KDD, and CVPR. He has served for many years as an Area Chair for top conferences such as NeurIPS and ICLR. He received an Outstanding Paper Award at AAAI, has been granted more than 20 national invention patents, and has won multiple championships in international competitions.

Date & Time

15:00–16:30 (Beijing Time, GMT+8)

July 14, 2026

Organizers

● Alliance of National and International Science Organizations for the Belt and Road Regions (ANSO)

● Institute of Automation, Chinese Academy of Sciences (CASIA)

Online Access (Microsoft Teams)

Meeting Link: https://teams.live.com/meet/9356094713339?p=JSbdHwglbU4d2CaCqS

Meeting ID: 935 609 471 333 9

Passcode: 8ma3ZH