Libratus, an artificial intelligence developed by Carnegie Mellon University, made history by defeating four of the world's best professional poker players in a marathon 20-day poker competition, called "Brains Vs. Once the last of 120,000 hands of Heads-up, No-Limit Texas Hold'em were played on Jan. 30, Libratus led the pros by a collective $1,766,250 in chips. The developers of Libratus -- Tuomas Sandholm, professor of computer science, and Noam Brown, a Ph.D. student in computer science -- said the sizable victory is statistically significant and not simply a matter of luck. "The best AI's ability to do strategic reasoning with imperfect information has now surpassed that of the best humans," Sandholm said. This new milestone in artificial intelligence has implications for any realm in which information is incomplete and opponents sow misinformation, said Frank Pfenning, head of the Computer Science Department in CMU's School of Computer Science. Business negotiation, military strategy, cybersecurity and medical treatment planning could all benefit from automated decision-making using a Libratus-like AI. "The computer can't win at poker if it can't bluff," Pfenning said. "Developing an AI that can do that successfully is a tremendous step forward scientifically and has numerous applications.

The world's best artificial intelligence poker player seems to know exactly when to hold'em and when to fold'em. An artificial-intelligence program known as Libratus has beat the world's absolute best human poker players in a 20-day No-Limit Texas Hold'em tournament, defeating four opponents by about $1.77 million in poker chips, according to Pittsburgh's Rivers Casino, where the "Brains vs. Artificial Intelligence" poker tournament was held. At the end of each day, at least one of the human players was beating the AI program. But in the end, it was not enough. "We appreciate their hard work, but unfortunately, the computer won," said Craig Clark, general manager of Rivers Casino.

Libratus, an artificial intelligence developed by Carnegie Mellon University, made history by defeating four of the world's best professional poker players in a marathon 20-day poker competition, called "Brains Vs. Once the last of 120,000 hands of Heads-up, No-Limit Texas Hold'em were played on Jan. 30, Libratus led the pros by a collective $1,766,250 in chips. The developers of Libratus -- Tuomas Sandholm, professor of computer science, and Noam Brown, a Ph.D. student in computer science -- said the sizable victory is statistically significant and not simply a matter of luck. "The best AI's ability to do strategic reasoning with imperfect information has now surpassed that of the best humans," Sandholm said. This new milestone in artificial intelligence has implications for any realm in which information is incomplete and opponents sow misinformation, said Frank Pfenning, head of the Computer Science Department in CMU's School of Computer Science. Business negotiation, military strategy, cybersecurity and medical treatment planning could all benefit from automated decision-making using a Libratus-like AI. "The computer can't win at poker if it can't bluff," Pfenning said. "Developing an AI that can do that successfully is a tremendous step forward scientifically and has numerous applications.

Artificial Intelligence: Upping the Ante" poker competition nears its halfway point, Carnegie Mellon University's AI program, called Libratus, is opening a lead over its human opponents -- four of the world's best professional poker players. Libratus had amassed a lead of $459,154 in chips in the 49,240 hands played by the end of Day Nine. One of the pros, Jimmy Chou, said he and his colleagues initially underestimated Libratus, but have come to regard it as one tough player. "The bot gets better and better every day," Chou said. AI, which began Jan. 11 at Rivers Casino in Pittsburgh, pits Chou and three other leading players -- Dong Kim, Jason Les and Daniel McAulay -- against Libratus in a 20-day contest in which they will play 120,000 hands of Heads-Up, No-Limit Texas Hold'em poker. All four pros specialize in this two-player, unlimited bid form of Texas Hold'em and are considered among the world's top players of the game. While the pros are fighting for humanity's pride -- and shares of a $200,000 prize purse -- Carnegie Mellon researchers are hoping their computer program will establish a new benchmark for artificial intelligence by besting some of the world's most talented players. Libratus was developed by Tuomas Sandholm, professor of computer science, and his Ph.D. student, Noam Brown. Libratus is being used in this contest to play poker, an imperfect information game that requires the AI to bluff and correctly interpret misleading information to win. Ultimately programs like Libratus also could be used to negotiate business deals, set military strategy or plan a course of medical treatment -- all cases that involve complicated decisions based on imperfect information. AI contest in 2015, four leading pros amassed more chips than the AI, called Claudico. But Sandholm said he's feeling good about Libratus' chances as the competition proceeds. "The algorithms are performing great.

For decades, researchers have been pitting artificial intelligence (AI) against the top game players in the world. The heads-up no-limit Texas hold'em variant of poker may be the final frontier in the battle of man vs. machine over games. And it may be about to fall. In 1997, IBM chess computer Deep Blue defeated world chess champion Garry Kasparov. In 2011, IBM Watson defeated Ken Jennings and Brad Ruttner, the two winningest Jeopardy players in that game show's history.

Dong Kim is one of four professional poker players who will compete against CMU artificial intelligence in a 20-day poker competition, Brains Vs. He is shown here during the first Brains Vs. Four of the world's best professional poker players will compete against artificial intelligence developed by Carnegie Mellon University in an epic rematch to determine whether a computer can beat humans playing one of the world's toughest poker games. Artificial Intelligence: Upping the Ante," beginning Jan. 11 at Rivers Casino, poker pros will play a collective 120,000 hands of Heads-Up No-Limit Texas Hold'em over 20 days against a CMU computer program called Libratus. The pros -- Jason Les, Dong Kim, Daniel McAulay and Jimmy Chou -- are vying for shares of a $200,000 prize purse. The ultimate goal for CMU computer scientists, as it was in the first Brains Vs. AI contest at Rivers Casino in 2015, is to set a new benchmark for artificial intelligence. "Since the earliest days of AI research, beating top human players has been a powerful measure of progress in the field," said Tuomas Sandholm, professor of computer science. "That was achieved with chess in 1997, with Jeopardy! in 2009 and with the board game Go just last year.

Jason Les is a seasoned professional poker player, though even he would say there's not much he can do to prepare for his next match. Usually, Les would scrutinize videos of upcoming opponent to learn their playing style and analyse their previous poker hands. "You have the opportunity to get an understanding of your future opponent's strategy and develop a counter-strategy," Les told Motherboard. But Les' next match, a heads-up no-limit Texas Hold'em match that will be played alongside three other professional poker players over the course of 20 days, isn't a typical one. Accompanied by poker stars Dong Kim, Jimmy Chou, and Daniel McAuley, Les will be pitted against an artificial intelligence program developed by researchers at Carnegie Mellon University.

Artificial Intelligence: Upping the Ante," a poker-playing computer and four of the best human poker players kicked off a rematch Wednesday at Rivers Casino. After a group of humans narrowly defeated a computer nearly two years ago, Jason Les, Dong Kim, Daniel McAulay and Jimmy Chou began play -- 8 hours on each of 20 straight days of 120,000 total hands (30,000 hands per player) -- Wednesday against the computer to see which of the four players gets the largest share of the $200,000 pot. They are matched against Libratus, the latest in CMU computer scientist Tuomas Sandholm's decade-long project to build a computer program that can learn and think its way to regularly beating humans in poker. In the previous matchup in May 2015, the humans beat a Libratus predecessor, Claudico. "It is important to all of us to give humans the best showing possible," Mr. Les told the Post-Gazette earlier this month. "The day is coming when computers will win.

Four of the world's best professional poker players will compete against artificial intelligence developed by Carnegie Mellon University in an epic rematch to determine whether a computer can beat humans playing one of the world's toughest poker games. Artificial Intelligence: Upping the Ante," beginning Jan. 11 at Rivers Casino, poker pros will play a collective 120,000 hands of Heads-Up No-Limit Texas Hold'em over 20 days against a CMU computer program called Libratus. The pros--Jason Les, Dong Kim, Daniel McAulay and Jimmy Chou--are vying for shares of a $200,000 prize purse. The ultimate goal for CMU computer scientists, as it was in the first Brains Vs. AI contest at Rivers Casino in 2015, is to set a new benchmark for artificial intelligence. "Since the earliest days of AI research, beating top human players has been a powerful measure of progress in the field," said Tuomas Sandholm, professor of computer science. "That was achieved with chess in 1997, with Jeopardy! in 2009 and with the board game Go just last year.

Poker Pro Dong Kim shown here in the first Brains vs. AI contest in 2015. Four of the world's best professional poker players will compete against artificial intelligence developed by Carnegie Mellon University in an epic rematch to determine whether a computer can beat humans playing one of the world's toughest poker games. Artificial Intelligence: Upping the Ante," beginning Jan. 11 at Rivers Casino, poker pros will play a collective 120,000 hands of Heads-Up No-Limit Texas Hold'em over 20 days against a CMU computer program called Libratus. The pros -- Jason Les, Dong Kim, Daniel McAulay and Jimmy Chou -- are vying for shares of a $200,000 prize purse. The ultimate goal for CMU computer scientists, as it was in the first Brains Vs. AI contest at Rivers Casino in 2015, is to set a new benchmark for artificial intelligence. "Since the earliest days of AI research, beating top human players has been a powerful measure of progress in the field," said Tuomas Sandholm, professor of computer science. "That was achieved with chess in 1997, with Jeopardy! in 2009 and with the board game Go just last year.