继围棋之后，人类在扑克牌上也输给了电脑！.

　　Artificial intelligence has made history by beating humans in poker for the first time, the last remaining game in which humans had managed to maintain the upper hand.

　　之前人们曾认为扑克牌是在对战人工智能中人类唯一能够占上风的游戏，但是最近人工智能已经打破了这个历史、毁掉了人类最后一点澳际感。

　　Libratus, an AI built by Carnegie Mellon University racked up over $1.7 million worth of chips against four of the top professional poker players in the world in a 20-day marathon poker tournament that ended on Tuesday in Philadelphia.

　　Libratu是卡内基梅隆大学研发了一个人工智能系统，配备了价值170万美元的芯片。在本周四于费城刚刚结束的一场为期20天的世界扑克锦标赛上，它对战了全世界最为顶尖的4名扑克选手。

　　While machines have beaten humans over the last two decades in chess, checkers, and most recently in the ancient game of Go, Libratus’ victory is significant because poker is an imperfect information game - similar to the real world where not all problems are laid out and the difficulty in figuring out human behavior is one of the main reasons why it was considered immune to machines.

　　尽管过去20年里人工智能已经在象棋、跳棋、以及最近的围棋中把人类打得一败涂地，Libratus的胜利却有着更加重大的意义，因为扑克牌是一种不完全信息博弈游戏，和真实世界很相似——不是所有问题都摆在明面上，而在识别人类行为方面的困难也是曾经认为人工智能不可能在扑克上赢过人类最主要的原因之一。

　　"The best AI’s ability to do strategic reasoning with imperfect information has now surpassed that of the best humans," said Tuomas Sandholm, professor of computer science at CMU who created Libratus with a PhD student Noam Brown said on Wednesday.

　　卡内基梅隆大学计算机科学教授桑德霍尔姆和一位博士生学生诺姆·布朗共同研发出了Libratus，桑德霍尔姆本周三表示说：“在不完全信息情况下，最好的人工智能做策略推理的能力现在已经超过了最好的人类。”

　　The victory prompted inquiries from companies all over the world seeking to use Libratus’ algorithm for problem solving.

　　这场胜利导致世界各地的公司发来询问，希望寻求用Libratus的算法来解决问题。

　　"It can be used in any situation where information is incomplete including business negotiation, military strategy, cyber security and medical treatment," Sandholm said.

　　桑德霍尔姆说道：“它可以用于任何信息不完全的情况，包括商务谈判、军事战略、网络安全和医疗。”

　　One of the main reasons for Libratus’ victory was the machine’s ability outbluff humans.

　　Libratus取得胜利的一个主要原因是在打牌时用下大注的方法吓退人类。

　　"The computer can’t win at poker if it can’t bluff," said Frank Pfenning, head of the Computer Science Department at CMU.

　　卡内基梅隆大学计算机科学系主任弗兰克·普芬宁表示说：“如果计算机不能虚张声势的话，就不可能在扑克上赢。”

　　"Developing an AI that can do that successfully is a tremendous step forward scientifically and has numerous applications."

　　“研发一个可以成功做到那一点的AI是一个巨大的科学进步，很多地方都可以用到这一点。”