Go champion defeated by Google AI

Go champion defeated by Google AI

Go champion defeated by Google AI: The victory was secured by Google’s AlphaGo after winning the second game in a three-part match.

Demis Hassabis the founder of DeepMind said that Ke Jie had played “perfectly” and “pushed AlphaGo right to the limit“.

After the defeat, Ke Jie had told the reporters: “I’m a little bit sad; it’s a bit of a regret because I think I played pretty well.”

The game Go revolves around players taking turns and placing stones on a 19 by 19 grid, where opponents compete to take control of the most territory.

The Go game is considered as one of the most complex games in the world, and is considered much more challenging for computers than chess.

AlphaGo had built up expertise of the game by studying older matches and playing thousands of games against itself.

The company says that. The purpose of making this algorithm is to make says the eventually deploy its artificial intelligence “in areas of medicine and science“.

Prof Noel Sharkey, a computer scientist at Sheffield University, said it is still a long way from creating a general intelligence.

“It is an incredible achievement and most experts thought an AI winning at Go was 20 years away so DeepMind is leading the field but this AI doesn’t have general intelligence. It doesn’t know that is playing a game and it can’t make you a cup of tea afterwards.”

At the moment Prof Nello Cristianini, from Bristol University commented added: “This is machine learning in action and it proves that machines are very capable but it is not general intelligence. No-one has built that yet.”

While they may produce algorithms that are useful in other fields, the types of intelligence exhibited by machines which are good at playing games are seen as very narrow. Few scientists think that they are close to the all-purpose problem solving abilities of humans that can come up with good solutions to almost any problem they encounter.

The relationship with intelligent machines going forward shall not be governed by these sorts of competitions said Prof Cristianini.

“We should focus on the good things that we can get out of them and be careful not to create situations in which we put ourselves in direct competition with machines.”

Experts believe that such algorithms could be adapted to other fields, such as health care.

DeepMind has already begun working with the UK’s national health service to develop apps and other tools for diagnosis.

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