Computer beats human at Go
Computer beats human at Go A player places a black stone while his opponent waits to place a white one as they play Go, a game of strategy, in the Seattle Go Center, Tuesday, April 30, 2002. (AP Photo/Cheryl Hatch/Thinkstock)
Computer beats human at Go
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A computer program has beaten a human champion at the ancient Chinese board game Go. It marked a significant advance for development of artificial intelligence.
The program had taught itself how to win, and its developers say its learning strategy may someday let computers help solve real-world problems like making medical diagnoses and pursuing scientific research.
The program and its victory are described in a paper released by the journal Nature.
Computers previously have surpassed humans for other games. Those include chess, checkers and backgammon. But among classic games, Go has long been viewed as the most challenging for artificial intelligence to master.
Go, which originated in China more than 2,500 years ago, involves two players who take turns putting markers on a checkerboard-like grid. The object is to surround more area on the board with the markers than one's opponent. Players capture the opponent's pieces by surrounding them.
While the rules are simple, playing it well is not. It's "probably the most complex game ever devised by humans," Dennis Hassabis of Google DeepMind in London, one of the study authors, told reporters.
The new program, AlphaGo, defeated the European champion in all five games of a match in October, the Nature paper reports.
In March, AlphaGo will face legendary player Lee Sedol in Seoul, South Korea, for a $1 million prize, Hassabis said.
Martin Mueller, a computing science professor at the University of Alberta in Canada, has worked on Go programs for 30 years. He didn't participate in AlphaGo.  He said the new program "is really a big step up from everything else we've seen...It's a very, very impressive piece of work."

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What was key to the computer's success?
Write your answers in the comments section below

  • nikolask-hor
    2/03/2016 - 08:01 a.m.

    I think the authors purpose for this article was to show that computers are smart, and only some humans are as smart. I liked this story because I do know a lot about computers, and these events happened to me.

  • makailab-rob
    2/03/2016 - 09:41 a.m.

    The key to Success is think of what they are thinking then think of your move before they make there moves.

  • joshuab2-rob
    2/03/2016 - 09:44 a.m.

    The key to computer success is to program it and show what the objective is about then it will memroize it

  • vincentl-ver
    2/03/2016 - 10:04 a.m.

    i think artificial intelligence is good to an extent, because i think it may be dangerous to let a computer to have the power to do what it wants, and i am sure that scientists would create a computer with AI with a backup shut down program in case it becomes out of control.

  • 14manabat,sean-pai
    2/03/2016 - 01:02 p.m.

    Computers can beat humans in most humans. They can try to make them lose.

  • ceceliar1-rob
    2/03/2016 - 01:34 p.m.

    The key to the computers success is to program it in a certain way and to show it the objective of the game and it memorizes what you programed it to do

  • jaylonw1-rob
    2/03/2016 - 01:36 p.m.

    the key to the computer's success was that computer's are smarter than people

  • jaylonw1-rob
    2/03/2016 - 01:37 p.m.

    The key to the computer's success is that computer's are smarter than humans.

  • scottk-lam
    2/03/2016 - 02:25 p.m.

    I think that the computers success was based on how much A.I. has grown in the past few years.

  • josepht-2-bar
    2/03/2016 - 11:59 p.m.

    Th key to success for the computer is that its programmed on how to win."The program had taught itself HOW TO WIN, and its developers say its learning strategy may someday let computers help solve real-world problems like making medical diagnoses and pursuing scientific research". I think it is interesting that they made a prize of $1 million to who would win.

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