Remember the Chess-Playing computer that IBM built a few years ago that defeated grandmaster Garry Kasparov? Well, it was called Deep Blue and used predefined actions picked up from a collection for every stage of chessboard without depending on artificial intelligence (AI).
Fast-forward to 2016, we now see a Google company - DeepMind - that extensively applies AI learning algorithms for what they say on their website
"The algorithms we build are capable of learning for themselves directly from raw experience or data, and are general in that they can perform well across a wide variety of tasks straight out of the box...".
Games are just one of the fields they are applying it. This year, they have started a program AlphaGo that aims to put it against a human competitor and find out how good the implementation is. AlphaGo took on Lee Sedol, the world's top Go player in Google's DeepMind Challenge and won 3 matches, losing only once. More such success is expected in their way, as they go deep into its mind.
Fast-forward to 2016, we now see a Google company - DeepMind - that extensively applies AI learning algorithms for what they say on their website
"The algorithms we build are capable of learning for themselves directly from raw experience or data, and are general in that they can perform well across a wide variety of tasks straight out of the box...".
Games are just one of the fields they are applying it. This year, they have started a program AlphaGo that aims to put it against a human competitor and find out how good the implementation is. AlphaGo took on Lee Sedol, the world's top Go player in Google's DeepMind Challenge and won 3 matches, losing only once. More such success is expected in their way, as they go deep into its mind.