Prof.Robert Kozma

Speech Title:

What do Brains Teach us about Intelligence and Intelligent Systems: The Quest for Sustainable Artificial Intelligent Systems

Abstract:

Breakthroughs of scientific and technological developments in recent years allow us to build computers and robots that parallel or even surpass human abilities in many respects. The superhuman achievements of ChatGPT, for example, are based on a new generation of AI with very large neural networks using Deep Learning. The exponentially increasing performance of these AI systems requires exponentially increasing resources as well, including data, computational power, and energy. This development is not sustainable and there is a need for new AI approaches, which give careful consideration to limited resources. Our main thesis is systems which need ever increasing resources are not intelligent at all, while truly intelligent systems arise from the limitations posed by resource constraints. We discuss how new AI could benefit from lessons learnt from human brains and human intelligence with limited resources. We describe various aspects of biological and artificial intelligence. We introduce a balanced approach based on the concepts of complementarity and multi-stability as manifested in human brain operation, cognitive processing, and consciousness. This approach provides insights into key principles of intelligence in biological brains and it helps building sustainable artificial intelligent systems for the benefit of humanity.

Bio of lecturer:

Robert Kozma (Fellow IEEE, Fellow INNS) received an M.Sc. degree in Power Engineering from Moscow Energy University, Soviet Union, another M.Sc. in Mathematics from Eotvos University, Budapest, Hungary, Ph.D. in Applied Physics from Delft University of Technology, The Netherlands. He has been a Professor of Computer Science and Mathematics at the University of Memphis since 2000, where he is the founding Director of the Center for Large-Scale Intelligent Optimization and Networks (CLION), FedEx Institute of Technology. He is President of Kozmos Research Laboratories. He has held faculty positions at the University of Massachusetts – Amherst; University of California at Berkeley; Otago University, Dunedin, New Zealand; and Tohoku University, Sendai, Japan. Past visiting positions include NASA Jet Propulsion Laboratory, Robotics; Lawrence Berkeley Laboratory; Air Force Research Laboratory, Sensors Directorate; Sarnoff Co., Princeton, NJ, USA, and others. His research focuses on the design, analysis, and control of artificially and biologically intelligent systems, robust decision support systems, autonomous robotics and embodied intelligence, large-scale graphs and networks, including sensor networks, brain and cognitive networks, brain computer interfaces, in which areas he authored/edited 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 Systems, Man, and Cybernetics Society, the AdCom of IEEE Computational Intelligence Society, and BOG of INNS. He is Editor-In-Chief of IEEE Transactions on Systems, Man, and Cybernetics: Systems. He is recipient of the Dennis Gabor Award of INNS.

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