Thomas Dietterich ( @tdietterich ) on Understanding the Depth of AI #FutureOfData #Leadership #PodcastIn this podcast Thomas Dietterich(@tdietterich) Distinguished Professor Emeritus@ Oregan State University sat with Vishal @ AnalyticsWeek to discuss the depth of AI. in This session Tom shared the current state, limitations and future of AI. He shared areas where AI is relevant and which areas are still seeking more testing for AI adoption. He also shared some of the pitfalls with current AI framework, area of selective bias, knowing context etc. This is a great session for anyone seeking to learn about the World of AI.

Thomas's Recommended Read:Army of None: Autonomous Weapons and the Future of War by Paul Scharre https://amzn.to/2CnoA94

Podcast Link:iTunes: http://math.im/itunesYoutube: http://math.im/youtube

Thomas's BIO:Thomas Dietterich has devoted his career to research in machine learning starting from the very first machine learning workshop in 1980. Along the way, he has been involved in four startup companies: Arris Pharmaceutical, MusicStrands, Smart Desktop, and (currently) BigML. He has made important contributions to learning with weak labels, ensemble methods, hierarchical reinforcement learning. and robust artificial intelligence. He was founding President of the International Machine Learning Society (which runs the International Conference on Machine Learning) and President of the Association for the Advancement of Artificial Intelligence. He has served on numerous government advisory bodies and currently is a member of the steering committee of the DARPA ISAT group. Dietterich earned his bachelor's degree from Oberlin College, his M.S. from the University of Illinois, and his PhD from Stanford University. He is a Fellow of the ACM, AAAI, and AAAS.

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