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Long before Google's AlphaGo best Lee SeDol at Go, and IBM's Deep Blue bested Gary Kasparov at chess, there was Chinook: a humble software program that set out to compete with the world's greatest checkers player. Professor Jonathan Schaeffer wrote Chinook in an attempt to use machine learning to outsmart the unbeatable checkers master, Marion Tinsley. But Schaeffer couldn't have imagined how his relationship with Tinsley would affect his program, and how the drama of their matches would change the world of artificial intelligence.
This week on Charged Tech we talk about Google's AlphaGo beating humans 4-1 at the infinitely complex game of Go and what that means for us, Opera adding adblock into its browser, the first app that snuck malware onto OS X and Sonos' huge layoffs.
Ollie and Dave discuss the Google DeepMind challenge. Which pits current Go world number one Lee Se-dol and Google's AlphaGo system against each other in a best of 5 match of the ancient game of Go. This leads on to a wider discussion on artificial intelligence in the context of deep learning.
As you may have heard, a computer beat a world-class human player in Go last week. As recently as a year ago the prediction was that it would take a decade to get to this point, yet here we are, in 2016. We'll talk about the history and strategy of game-playing computer programs, and what makes Google's AlphaGo so special. Relevant link: http://googleresearch.blogspot.com/2016/01/alphago-mastering-ancient-game-of-go.html