Google is again in the news. With decades of research and development in artificial intelligence, Google is definitely the one to watch out for. But finally humanity triumphs over artificial intelligence. DeepMind had earlier set the benchmark to really check out how far it can push humanity, and set the tables against real intelligence. However, this time, results were a tad different.
After three back to back misfortunes, GO best on the planet Lee Sedol has beaten Google’s DeepMind counterfeit consciousness program, AlphaGo, in the fourth session of their five-amusement arrangement. DeepMind organizer Demis Hassabis takes note of that the AI lost because of its postponed response to a foul up: it slipped on the 79th turn, however didn’t understand the degree of its slip-up (and along these lines adjust its playing style) until the 87th move. The human win won’t change the consequences of the test – Google is giving the $1 million prize to philanthropy as opposed to giving it to Lee. Still, it’s a typical triumph in an opposition that some had anticipated that AlphaGo would totally command.
Not that Lee or other fragile living creature and-bone players can sit back and relax. Hassabis says that AlphaGo’s misfortune (its just misfortune against geniuses in this way) will facilitate Google identify and take out shortcomings in the existing AI system so that it can perform even better in the future. There’s a genuine chance that the organization’s code will in the long run close unassailable in Go, demonstrating that fake instinct is reliably compelling at beating the genuine article. That is at last accommodating for the smart people, however, as it could prompt neural systems that depend more on fluffy rationale than crude figurings to finish undertakings.
Lee Sedol’s victory over AlphaGo is a reminder that Google’s Go-playing programme has room for improvement despite winning the first three matches in the best-of-five series and the one million US dollar prize, which will be donated to charity.
The programme – the first computer system to defeat a top Go player – was developed by Google DeepMind two years ago.
“This one win is so valuable and I will not trade this for anything in the world,” Lee, one of the best Go players in the world, said with a smile after entering the post-match news conference at a Seoul hotel to applause from journalists. Lee had said earlier in the series, which began last week, that he was unable to beat AlphaGo because he could not find any weaknesses in the software’s strategy. It was indeed a battle for prestige for the human race. But after Sunday’s match, the 33-year-old South Korean Go grandmaster, who has won 18 international championships, said he found two weaknesses in the artificial intelligence programme.
Lee said that when he made an unexpected move, AlphaGo responded with a move as if the programme had a bug, indicating that the machine lacked the ability to deal with surprises. AlphaGo also had more difficulty when it played with a black stone, according to Lee. In Go, two players take turns putting black or white stones on a 19-by-19-line grid, with a goal of putting more territory under one’s control. A player with a black stone plays first and a white-stone player gets extra points to compensate. Lee played with a white stone on Sunday. For the final match of the series, scheduled for Tuesday, Lee has offered to play with a black stone, saying it would make a victory more meaningful.
South Korean commentators could not hide their excitement three hours into Sunday’s match, when it became clear that Lee would finally notch a win. AlphaGo narrowed the gap with Lee, but could not overtake him, resigning nearly five hours into the game. Go fans whose pride had been crushed by Lee’s earlier defeats cheered the result. Prior to the series, Go fans, many of them in Asia, believed that the game would prove too complex for the machine to master. Because there are near-infinite board positions in Go and top players rely heavily on intuition, the popular Asian board game has remained the holy grail for the artificial intelligence community for about two decades, after chess was conquered by computers.