Google’s AI wraps it up winning human 4 to 1

alpha go vs lee sedol

Although Lee had predicted he would win Google’s DeepMind AI, the reverse seems to be the case. AI has finally won the final match against human champ Lee Sedol making it 4 – 1, this definitely isn’t fluke victory. Earlier on, AlphaGo had already established itself as a more than worthy adversary for Go player champ Lee Sedol after it won 3 matches in a row. This made South Korea’s top Go federation, the Korea Baduk Association to rank AlphaGo an honorary “ninth-dan” rating, same rank as Lee. The Go series is over today with AlphaGo as the winner.

The final game proved to be a close one, with both sides struggling hard to win, this game was by far the best in the match. DeepMinds AI program made a serious “blind spot” error similar to the one that made it loose in the fourth game. But it quickly adjusted itself and played even better which led to the defeat of Lee Sedol.

It was “the most mindblowing game experience we’ve had so far,” said DeepMind founder Demis Hassabis at the post-match press conference, with an “incredibly close and tense finish.” This is the first time a computer program took on a professional 9-dan player of Go. The prize was for a $1 million put up by Google, DeepMind’s victory means it will be donated to charity.

AI winning the Go game shows how far Artificial Intelligence has gone, the Go game is vastly more complex than Chess and requires a high level of intuition to play. For AI to be a champion at the Go game shows that Artificial Intelligence has gone beyond just Arithmetic, but now thinks like humans do, calculating, learning (even from mistakes) and creating even more complex moves. The future of AI is unpredictable, experts say AI will create a better earth making work easier, tech giants such as Bill Gates, Elon Musk and also Stephen Hawking warns that it could bring an end to humanity. A machine made can make even smarter versions of itself and could sometimes turn rebellious.

Watch match details below;

AlphaGo is a computer program developed by London-based Artificial Intelligence firm Google DeepMind to play the board game Go. In October 2015, it became the first computer Go program to beat a professional human Go player without handicaps on a full-sized 19×19 board. AlphaGo’s algorithm uses a combination of machine learning and tree search techniques, combined with extensive training, both from human and computer play.

Lee Se-dol (born 2 March 1983) is a South Korean professional Go player of 9-dan rank. As of February 2016, he ranks second in international titles behind only Lee Chang-ho.

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