Google’s DeepMind Intelligence has defeated world’s top Go player Ke Jie.

Ke Jie, the world’s number one Go Player defeated in the second game in the three-part match.

After the defeat, Jie told, “I’m a little bit sad, its a bit of a regret because I think I played pretty well.”

Google Alpha Go is considered to be one of the world’s most complex game and is much more challenging for computers than chess.

In the game, the player takes turn placing stones on a 19 by 19 grid, competing to take control of the most territory. In this game, Artificial Intelligence defeated Ke Jie in the second game in the three-part match.

Artificial Intelligence always learns from the past events, mistakes, and makes numbers of trials for getting all those mistakes cover and with the success result. Referring to the same theory, Alpha Go has also built up its expertise by studying previous older matches and playing thousands of games against itself which by today results victory.

Professor Nello Cristianini from Bristol University said, “This is machine learning in action and it proves that machine are very much capable but it is not general intelligence. No one has built that yet.”

The type of intelligence used in the game is very narrow. They can be produced too many fields using the same algorithm, few thinks they are close to the all-purpose problem-solving abilities of human that can come up with the good solution to almost any problem they encounter.

Professor Cristianini also added that while competition at a gaming level is fine, it should not govern how we view our relationship with intelligence machine going forward. “We should focus on the good things that we can get out of them and be careful not create the situation in which we put ourselves in direct competition with machines.”

All the experts accepted that these types of algorithm are adapted and can be improved in other fields such as health care, hospitals, patient condition monitoring, etc.

The company says the eventual plan is to deploy its “Artificial Intelligence in areas of Medicine and Science.”

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