Keynote Speaker: Michael Stiber, Professor & Division Chair, Computing & Software Systems, UWB
Talk Title: An Orientation to AI for Natural Intelligences
Abstract:
There is so much hype and excitement about artificial intelligence today that a technology professional couldn’t be blamed for thinking that this is something new to the world that is sophisticated beyond most of our abilities to understand. This talk’s purpose is to debunk both of those preconceptions, explaining how today’s AI technology represents the latest evolution of work that has been going on for over 70 years — and that it is based on ideas accessible to anyone familiar with basic engineering principles.
Bio:
Dr. Michael Stiber earned his Ph.D. in Computer Science from UCLA. Before coming to UWB, he was an Assistant Professor at the Hong Kong University of Science & Technology and a Research Assistant Professor at the University of California, Berkeley. He has also been a Visiting Associate Professor at the University of Florida and a Fulbright Scholar in the Institute of Physiology of the Czech Academy of Sciences. Dr. Stiber’s research lies at the intersection of complex networks, modeling, high performance simulation, data/metadata/paradata management, and analysis and visualization. He has applied these interests to problems in computational neuroscience, cybersecurity, artificial intelligence, and nonlinear dynamics.