Seminar Abstract: Cutting-edge AI and Deep Learning technologies excel in various tasks under stable conditions. However, their performance may decline when faced with perturbed data or dynamic environmental changes. Prof Kozma’s seminar will explore the neuromorphic perspective, drawing insights from human brain efficiency to enhance AI sustainability. The talk will address challenges, outline brain study findings, and introduce system designs combining deep learning and neuromorphic technologies.

Biography:

Robert Kozma (Fellow IEEE, Fellow INNS) Ph.D. in Applied Physics (1992) from Delft University of Technology, The Netherlands. He has held faculty positions at the University of California at Berkeley, USA; Otago University, Dunedin, New Zealand; Tohoku University, Sendai, Japan. He has been Professor of Computer Science and Mathematics at University of Memphis since 2000, where he is the founding Director of the FedEx Center for Large-Scale Intelligent Optimization & Networks. Past affiliations with US Air Force Research Laboratory; NASA Jet Propulsion Lab; Lawrence Berkeley Lab; Sarnoff Co., Princeton; U. Massachusetts, Amherst. He has 9 book volumes, over 300 papers, and 3 patents. Dr. Kozma has been the President of the International Neural Network Society (INNS), served on the Board of Governors (BOG) of the IEEE SMC Society, the AdCom of IEEE CIS, and BOG of INNS. He is EIC of IEEE Transactions on SMC: Systems. He is recipient of INNS Dennis Gabor Award.

Don’t miss this opportunity to gain valuable insights into sustainable AI from a distinguished expert. I encourage you to join the seminar and engage in the discussion. For more details: https://events.vtools.ieee.org/m/403522

If you have any questions, be free to contact Dr Huadong Mo [email protected]