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SUMMARY:【T. D. Lee Special Colloquium】AI Scientist: An AI Paradigm for
  Autonomous Scientific Discovery
DTSTART;VALUE=DATE-TIME:20260416T060000Z
DTEND;VALUE=DATE-TIME:20260416T070000Z
DTSTAMP;VALUE=DATE-TIME:20260429T101000Z
UID:indico-event-4934@indico-tdli.sjtu.edu.cn
DESCRIPTION:Speakers: Kai Liu (CATL（宁德时代）)\n\nHost: Prof. Ning
  Zhou (周宁)Abstract：Artificial intelligence is transforming from a to
 ol into a core driver of scientific discovery. The AI for Science (AI4Scie
 nce) paradigm has achieved breakthroughs across fields: aiding molecular g
 eneration in drug discovery\, accelerating material design\, and even assi
 sting in theorem proving. This report introduces core concepts of AI and 
 AGI\, outlining AI4Science's technical approaches and practical applicatio
 ns in drug and materials research. It shares industry insights on building
  integrated R&D systems that close the loop between data\, models\, and ex
 periments. The discussion then explores the emerging "AI Scientist" paradi
 gm. Centered on large models and AI agents\, it aims to construct autonomo
 us discovery systems capable of hypothesis generation\, reasoning\, simula
 tion\, and experimental design. This approach seeks to connect fundamental
  research with practical applications\, significantly boosting scientific 
 exploration efficiency. Finally\, the report presents the vision of the Ac
 ademy of Scientific AGI\, detailing its focus on foundational models\, AI 
 agents\, autonomous labs\, and scientific algorithms. It discusses pathway
 s for industry-academia collaboration to transition AI from a supportive t
 ool to a true scientific engine in energy and materials science.Biography
 ：Dr. Liu Kai is the Chief AI Scientist of CATL\, in charge of establishi
 ng the CATL Academy of Scientific Artificial General Intelligence (Sci-AGI
 )\, and exploring ways to leverage artificial intelligence to accelerate h
 uman scientific discovery in physics\, mathematics\, chemistry and materia
 ls science.Prior to joining CATL\, he served as Vice President of Artifici
 al Intelligence at SES AI in the United States\, where he built a full-pro
 cess AI system for electrolyte material molecular discovery. He also worke
 d as Director of Artificial Intelligence at Genentech\, leading AI-driven 
 drug R&D research. His research interests cover large language models\, AI
  agents\, and full-process research on AI-powered drug and materials disco
 very.Dr. Liu earned his bachelor’s degree in Physics from Peking Univers
 ity\, a master’s degree in Robotics from the Institute of Automation\, C
 hinese Academy of Sciences\, and subsequently a PhD in Neuroscience and a 
 master’s degree in Machine Learning from Johns Hopkins University in the
  United States.\n\nhttps://indico-tdli.sjtu.edu.cn/event/4934/
LOCATION:Tsung-Dao Lee Institute/S5F-S500 - Lecture Hall (Tsung-Dao Lee In
 stitute)
URL:https://indico-tdli.sjtu.edu.cn/event/4934/
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