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CATEGORIES:ECS Seminars
CONTACT:Professor Yew-Soon Ong
DESCRIPTION:This talk presents the role of AI in science and engineering\, 
 from learning for prediction to optimization for precision\, and onward to
  generative models that potentially reshape solution spaces. It highlights
  the possible shift from purely data-driven abstraction to physically grou
 nded intelligence\, where AI systems are increasingly aligned with the law
 s of nature. Advances in generalizable physics-informed neural networks\, 
 guided diffusion model generation\, and prompt evolution are empowering AI
  to simulate\, predict\, plan\, and design within real-world constraints. 
 As language models become engines of scientific exploration\, navigating c
 omplex design spaces and abstract knowledge landscapes\, they converge wit
 h physics-based signals and evolutionary principles such as multifactorial
  optimization to achieve high-fidelity modelling and creative physical des
 ign. The talk ends with a vision of AI not merely as a tool but as a co-ex
 plorer\, fusing data\, theory\, and imagination to uncover latent structur
 es\, accelerate discovery\, and deliver real-world impact.\n\nBrief Biogra
 phy:\nProfessor Yew-Soon Ong received his Ph.D. in Artificial Intelligence
  for Complex Design from the University of Southampton\, U.K.\, in 2003. H
 e previously served as Chair of the School of Computer Science and Enginee
 ring at Nanyang Technological University (NTU)\, Singapore. Currently\, he
  is a President’s Chair Professor in Computer Science at NTU and the Chief
  Artificial Intelligence Scientist at the Agency for Science\, Technology 
 and Research (A*STAR)\, Singapore. His research interests encompass artifi
 cial intelligence\, evolutionary computation\, statistical machine learnin
 g\, and optimization. He was General Co-Chair of the 2024 IEEE Conference 
 on Artificial Intelligence and has been a keynote speaker or senior area c
 hair or area chair of AAAI\, IJCAI\, ICLR\, NeurIPS\, KDD and others. He h
 as received several IEEE Outstanding Paper Awards and was recognized as a 
 Thomson Reuters Highly Cited Researcher. He is founding editor-in-chief of
  the IEEE Transactions on Emerging Topics in Computational Intelligence\, 
 senior associate editor or associate editor for IEEE Transactions on Neura
 l Networks & Learning Systems\, IEEE Transactions on Evolutionary Computat
 ion\, and IEEE Transactions on Artificial Intelligence. He is a fellow of 
 the IEEE and a fellow of the National Academy of Engineering\, Singapore.
DTEND;TZID=Pacific/Auckland:20251016T120000
DTSTAMP:20260423T214003Z
DTSTART;TZID=Pacific/Auckland:20251016T110000
LOCATION:LBLT118\, Laby Building  
ORGANIZER:Professor Yew-Soon Ong
SUMMARY:Professor Yew-Soon Ong - Physically Grounded AI for Scientific Disc
 overy: From Prediction to Generative Design
UID:seminar_ecs1424_20250926104441
URL:https://personal.ntu.edu.sg/asysong/home.html
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