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ECE Seminar Series


Joint Electrical and Computer Engineering and Computer Science Seminar

Title: Artificial Intelligence vs. Virtual Intelligence
Speaker: Dr. James A. Crowder
Affiliation: Chief Engineer, Raytheon's Intelligence, Information and Services Business Unit
Day: Monday, November 6, 2017
Time: 11:00 am - 12:00 pm
Location: Computer Science Building Room 130

Abstract: Many struggle with the difference between Virtual Intelligence and Artificial Intelligence. In many cases, what is touted as Artificial Intelligence is, at best, Virtual Intelligence and is, at worst, nothing more than Case-Based Reasoning. In this talk, I will discuss why the notions of Self-Adaptation and Self-Evolution should be a primary goal in real Artificial Intelligence Systems. This notion is in contrast to Directed-Adaptation and Virtual Intelligence, which many designers desire because it is predictable; true Artificial Intelligence should not and will not be such. The presentation will include video footage of simplistic, self-adaptive artificial life forms (small insect-like robots), as well as a description and design of the analog neurons that comprise the robotic analog neural networks, derived from a mathematical representation of the information continuum surrounding an individual artificial neuron.

Bio: James A. Crowder, PhD, is a Chief Engineer with Raytheon's Intelligence, Information and Services Business Unit. He was worked in the aerospace and defense industry for 30 years in systems architecture and artificial intelligence. Dr. Crowder is also the Chief Mentor/Scientist of the Automation, Robotics and Artificial Intelligence Lab at the Alexandria School of Innovation, Douglas Country, Colorado. Dr. Crowder's work has received press in Popular Science, TechCrunch, and Discovery News. Dr. Crowder has over 105 peer-reviewed Journal Papers and Conference Proceedings in Artificial Intelligence, Fuzzy Systems, Genetic Algorithms, Systems Architecture, and Information Security, as well as two patents pending on Hybrid Neural Fiber Networks. He has authored 4 books on Artificial Cognition, Agile Design, and Multidisciplinary Systems Engineering. Dr. Crowder has a Ph.D. in Electrical Engineering (Stochastic Processing) and Applied Math (Chaos Theory), an MS in Applied Mathematics (Applied Probability), an MS in Electrical Engineering (Signal Processing) and a BS in Electrical Engineering.