Prof. Petros Koumoutsakos, Harvard University
The Spring 2022 Brains, Minds, and Machines (BMM) Seminar Series will be hosted in a hybrid format. Please see the information included below regarding attending the event either in-person or remotely via Zoom connection
Please note, MIT is requiring that all attendees, including MIT COVIDpass users, sign-in to the event prior to entering the auditorium.
Abstract: Human minds have produced laws to describe complex systems along with numerical methods and algorithms that harness the powers of modern supercomputers. Simulations and data processing have provided our generation with unprecedented physical insight. Despite progress in methods, software and hardware we realize that we will never be able to rely solely on this mode of inquiry to understand, predict and control complex systems. Artificial intelligence (AI) offers new modes of inquiry but questions remain on whether it replaces exiting modes of inquiry, complements them and how ? In this talk I will present algorithms formulated on a fusion of computational science and AI for the prediction and control of diverse physical systems. I will present the Remember and Forget Experience Replay (ReFer) algorithm for reinforcement learning, a multiscale approach to Learning the Effective Dynamics (LED) of complex systems and a fusion of scientific computing and multi-agent reinforcement learning (SciMARL) for developing closures for unresolved dynamics of complex systems. Examples will include benchmark problems from physics engines to high fidelity simulations of complex systems that range from molecular systems to fish schooling. I will discuss successes and failures and hope for a dialogue on how the integration of AI and Computational science may lead to new forms of Computational Intelligence.
Bio: Petros Koumoutsakos is Herbert S. Winokur, Jr. Professor of Engineering and Applied Sciences, Faculty Director of the Institute for Applied Computational Science (IACS) and Department Chair of Applied Mathematics at Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS). He studied Naval Architecture (Diploma-NTU of Athens, M.Eng.-U. of Michigan), Aeronautics and Applied Mathematics (PhD-Caltech) and has served as the Chair of Computational Science at ETH Zurich (1997-2020). Petros is elected Fellow of the American Society of Mechanical Engineers (ASME), the American Physical Society (APS), the Society of Industrial and Applied Mathematics (SIAM). He is recipient of the Advanced Investigator Award by the European Research Council and the ACM Gordon Bell prize in Supercomputing. He is elected International Member to the US National Academy of Engineering (NAE). His research interests are on the fundamentals and applications of computing and artificial intelligence to understand, predict and optimize fluid flows in engineering, nanotechnology, and medicine.
Link to attend talk remotely via Zoom:
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