Carnegie Mellon creates a poker-playing AI that can beat the pros

To be great at poker you gotta know when to hold them, know when to fold them, know when to walk away, and know when to core dump. That's only part of the technique a new AI system created by researchers at Carnegie Mellon used to beat four of the "world's best professional poker players" – Dong Kim, Jimmy Chou, Daniel McAulay and Jason Les. The AI played the humans in a 20-day 120,000-hand Heads-up No-Limit Texas Hold'em binge that happened live on a casino floor in Pittsburgh. The AI, called Libratus, was up $1,766,250 in chips by the end of the experiment when it finally beat the four pros in a competition at Rivers Casino. The players played nearly constantly, conferring on strategy after each day of play.