In New Scientist, 3 June 2017, p.42-43, there is an interview with Kasparov (who has just published a book about his defeat by Deep Blue), where he says "Deep Blue is the end and AlphaGo the beginning", and explains:
"I'm sure some things were learned about parallel processing... but the real science was known by the 1997 rematch... but AlphaGo is an entirely different thing. Deep Blue's chess algorithms were good for playing chess very well. The machine-learning methods AlphaGo uses are applicable to practically anything." Agree or disagree? Darren -- Darren Cook, Software Researcher/Developer My New Book: Practical Machine Learning with H2O: http://shop.oreilly.com/product/0636920053170.do _______________________________________________ Computer-go mailing list Computer-go@computer-go.org http://computer-go.org/mailman/listinfo/computer-go
