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The AI system, called Lengpudashi, won a landslide victory and $290,000 in the five-day competition.
日前，一款被称为“冷扑大师”的AI系统，在为期五天的比赛中以绝对优势取得胜利，并赢得了29万美元。
It is the second time this year that an AI program has beaten competitive poker players.
这已经是AI程序今年第二次击败有竞争力的扑克牌玩家了。
An earlier version of the program, known as Libratus, beat four of the world's best poker pros during a 20-day game in January.
被称为Libratus的早期程序版本，在今年一月份举行的一项为期20天的比赛中，击败了世界上最好的四名扑克职业选手。
The AI systems were the work of Tuomas Sandholm, a computer science professor at Carnegie Mellon University in the US, and PhD student Noam Brown.
该AI系统是美国卡内基梅隆大学计算机科学教授塔马斯·桑德霍姆和博士生诺姆·布朗研发的。
The prize money will go to Strategic Machine, a firm founded by the duo.
此次获胜的奖金将会投入这二人创办的一家名为“战略机器”的公司。
The human team up against Lengpudashi was led by Yue Du, an amateur poker player who won the World Series of Poker $5,000 buy-in, no-limit, Texas Hold'em category last year.
本次与“冷扑大师”较量的人类团队由杜悦领队，他是业余扑克玩家，去年在5000美金买入的无限德州扑克世界系列赛中夺冠。
Mr Du's "Team Dragon" consisted of engineers, computer scientists and investors who attempted to use game theory and their knowledge of machine intelligence to anticipate and counter Lengpudashi's play.
杜悦的“龙之队”由工程师、计算机科学家和投资者组成，他们试图利用博弈论及其机器智能的知识来预测和应对“冷扑大师”的发挥。
Unlike chess and Go, in which all the playable pieces are visible on the board, poker is what computer scientists call an "imperfect information game".
不同于象棋与围棋的所有棋子均可见，扑克被计算机科学家称为“不完全信息博弈”。
Like the poker pro-beating Libratus AI program before it, Lengpudashi was run on a supercomputer at Pittsburgh Supercomputing Center.
和之前打败专业选手的libratus AI程序一样，“冷扑大师”也是在匹兹堡超级计算中心的一台超级计算机上运行的。
