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March 22, 2016Big Data, Deep Learning, and New Roles of Cognitive Systems in Human WorldErin M. Burke, J.D., M.S.D. Frank Hsu, Ph.D.
Evolution of AI in ChessMariano Kamp, Creative Commons Attribution License
19851989
Chiptest (Carnegie Mellon)50,000 moves/sec
Chiptest-M500,000 moves/secWins first world championship, Kasparov easily defeats19871988
Deep Thought 0.01, 0.02720,000 moves/sec
19901993
Move to Yorktown Heights,2MM positions/second, increased efforts on parallel search algorithm
Renamed Deep Blue
1991Increased processing power, 6-7MM positions per second, Deep Thought II, ACM World ChampDefeats Kasparov,100MM positions/second1997
Deep Blue ChoicesEvaluation algorithm measures the "goodness" of a given chess position:material position King safetytempoSelective SearchingPruning, not brute forceParallel computingJames Gardner, Creative Commons Attribution License
Deep Blue v. WatsonDifferent technologies, different skills. Sheer computing v. cognition.
Stephen Baker, author of Final JeopardyWatson is a far more sophisticated program than Deep Blue, because it's closer to mastering kindergarten (though still far away)
Big Data 4 VsVolumeVarietyVelocityVeracity
Deep LearningTrain Artificial Neural Networks on Big Data - audio, pictures, ANN: learning and reinforcementClusteringExamine Enormous number of examples-> not hand-coded rules based (better on GPUs) Layers of algorithms, themselves discovered by sheer processing power
Wikimedia Commons
AlphagoGO: self-ignorance-> knowing more than we can tell is difficult to program. Needs to learn on its own, and therefore use deep learning.Difference with chess:Too many choices for even the fastest computers Difficult to assess where to startFed millions of examples learning and then played against itself to learn more reinforcement
ApplicationsSpeech recognitioncredit card fraud detectionradiology finance: temporal signals - 3D view of trends, patterns across different time scales
Fuzzy Logic ApplicationE-mailing StudentsGoal: Use correct tone in email to students