Understanding Computational Intelligence

Dr. David Fogel, President of Natural Selection, Inc. and the Co-Chair of 2017 IEEE Symposium Series on Computational Intelligence participates in Risk Roundup to discuss “Computational Intelligence”. Overview Computational Intelligence is about building intelligent agents. Intelligent agents, intelligence, and the ability to take effective decisions to forecast future has fascinated individuals and entities across nations: its government, industries, organizations and academia (NGIOA) since its early existence. Irrespective of NGIOA, accurate predictions based on sound decision making process and intelligence is essential, as forecasting errors or bad decisions based on bad intelligence involves much more than loss of money. This is where computational intelligence shows tremendous promise. The ability of a computer to learn a specific task from any and all available data and take the right decision is changing not only the fundamentals of computational intelligence but also how we address complex real-world problems to which mathematical or traditional modelling is not generally effective. It is believed by many that the current technological momentum which covers many disruptive technologies such as ‘Internet of Things’, ‘big-data’, ‘cloud-computing’, ‘deep-learning’ and more, is not only the beginning of a new industrial revolution, but that the developments in Artificial Intelligence will be driving the transformation process across nations: its government, industries, organizations and academia (NGIOA) in cyberspace, geospace and space (CGS). It is important that we evaluate: * Artificial Intelligence as the driver of emerging industrial revolution that is expected to fundamentally transform NGIOA in cyberspace, geospace and space (CGS) * Trends with respect to computing technologies * Intelligent activity or intelligence, and how can that be implemented in computers * State of computer intelligence today * Fundamentals of computer intelligence * Understanding of human intelligence that drives intelligence in computers * Advances in the computational principles of computational intelligence * Origin of the intelligence progress * Applying computational intelligence to create value * Intelligent systems * Endpoint for computational intelligence * Challenges for computational intelligence As we understand the science of intelligence further, and build intelligent systems, fundamental changes and challenges are expected across nations: its government, industries, organizations and academia (NGIOA) in cyberspace, geospace and space (CGS). It is time to evaluate computational intelligence. For more please watch the Risk Roundup Webcast or hear Risk Roundup Podcast About the Guest Dr. David Fogel received the Ph.D. in engineering sciences (systems science) from UCSD in 1992. He earned the B.S. degree in mathematical sciences (probability and statistics) from UCSB in 1985. Dr. Fogel is an internationally recognized scientist, speaker, and engineer. In 1999, he was elevated to the status of IEEE Fellow, the then second-youngest Fellow in the history of the world’s largest organization of professional engineers. In 2004, he received an IEEE Technical Field Award, and he has received numerous other distinctions, including San Diego Distinguished Scientist of the Year from Sigma Xi, the CajAstur Prize for Soft Computing, and he received an honorary doctorate in 2008 from the University of Pretoria. In 2009, Dr. Fogel was named one of the top-100 most influential alumni in the then 50-year history of the University of California at San Diego. In 2014, Dr.