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AlphaGo背后的人脑

计算机早就“解决了”诸如步步高和跳棋之类的其他游戏。1997年，IBM的“深蓝”(Deep Blue)超级计算机击败了当时的国际象棋世界冠军加里•卡斯帕罗夫(Garry Kasparov)。程序员用深蓝打造了一个试图分析每一种可能走法的所有结果的系统。但围棋要远比国际象棋复杂得多。围棋的棋局变数比宇宙中的原子数量还要多。即便是最强大的超级计算机也无法处理这么多的信息。击败最强的人类选手需要史无前例的技术突破。

That moment came on Wednesday when, after three-and-a-half hours play, Mr Lee conceded to AlphaGo. The human champion was in “shock” after the loss. The next day the computer won again. The third match begins this weekend. Though marvelling at this achievement, Mr Hauser warns that progress in other fields, such as robotics, is some way off.

突破的时刻在上周三来临——在3个半小时的对弈之后，李世石向AlphaGo认输。这位人类冠军棋手在输棋之后感到“震惊”。第二天AlphaGo再次获胜。尽管对这一成绩感到惊叹，但哈萨比斯警告称，机器人技术等其他领域还有很长的路要走。

“One of the curiosities of the phenomenal progress we’re making with AI is that it looks as though we have a world champion at Go, but we don’t have a computer that can physically move the Go pieces,” he says. Mr Federer will not face a similar challenge just yet.