A.I. is Now 10 Times Better Than a Pro Poker Player

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Scientists at the University of Alberta are cracking away at the complexities of artificial intelligence with their new "DeepStack" system, which can not only play a round of poker with you, but walk away with all of your money. This new technology builds upon the legacy of systems like IBM's Deep Blue, which was the first program to beat a world champion, Gary Kasparov, at chess in 1996. As Michael Bowling, co-author of the research and leader of the Computer Poker Research Group at Alberta, puts it: poker is the next big step for designing AI. In a game of Heads Up No Limit poker, DeepStack was able to win against professional poker players at a rate of 49 big blinds per 100. "We are winning by 49 per 100, that's like saying whatever the players were doing was not that much more effective than if they just folded every hand," Bowling tells Inverse.


Time to Fold, Humans: Poker-Playing AI Beats Pros at Texas Hold'em

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It is no mystery why poker is such a popular pastime: the dynamic card game produces drama in spades as players are locked in a complicated tango of acting and reacting that becomes increasingly tense with each escalating bet. The same elements that make poker so entertaining have also created a complex problem for artificial intelligence (AI). A study published today in Science describes an AI system called DeepStack that recently defeated professional human players in heads-up, no-limit Texas hold'em poker, an achievement that represents a leap forward in the types of problems AI systems can solve. DeepStack, developed by researchers at the University of Alberta, relies on the use of artificial neural networks that researchers trained ahead of time to develop poker intuition. During play, DeepStack uses its poker smarts to break down a complicated game into smaller, more manageable pieces that it can then work through on the fly.


Your next CEO will be an AIRecruiters

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That's the reason why I was shocked by a piece of news that came out of London on January 27 this year. AlphaGo, a program created by Google subsidiary DeepMind, defeated the European Go champion, five games to nothing. Maybe you think that's no big deal. After all, it's almost 20 years since IBM's Deep Blue beat Kasparov at chess in 1997. Chess is about logic; Go involves imagination and intuition.


Heads-Up Limit Hold'em Poker Is Solved

Communications of the ACM

Mirowski cites Turing as author of the paragraph containing this remark. The paragraph appeared in [46], in a chapter with Turing listed as one of three contributors. Which parts of the chapter are the work of which contributor, particularly the introductory material containing this quote, is not made explicit.


AI takes on video games in quest for common sense

Science

Next week, scientists working on artificial intelligence (AI) and games will be watching the latest human-machine matchup. But instead of a single pensive player squaring off against a computer, a team of five top video game players will be furiously casting magic spells and lobbing (virtual) fireballs at a team of five AIs called OpenAI Five. They'll be playing the real-time strategy game Dota 2 at The International in Vancouver, Canada, an annual e-sports tournament that draws professional gamers who compete for millions of dollars. In 1997, IBM's Deep Blue AI bested chess champion Garry Kasparov. In 2016, DeepMind's AlphaGo AI beat Lee Sedol, a world master, at the traditional Chinese board game Go.