How computers were finally able to best poker pros

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Twelve days into the strangest poker tournament of their lives, Jason Les and his companions returned to their hotel, browbeaten and exhausted. Huddled over a pile of tacos, they strategized, as they had done every night. With about 60,000 hands played -- and 60,000 to go -- they were losing badly to an unusual opponent: a computer program called Libratus, which was up nearly $800,000 in chips. That wasn't supposed to happen. In 2015, Les and a crew of poker pros had beaten a similar computer program, winning about $700,000.


Computers can now challenge -- and beat -- professional poker players at Texas hold 'em

Los Angeles Times

First they figured out how to play checkers and backgammon. Then they mastered chess, Go, "Jeopardy!" and even a few Atari video games. Now computers can challenge humans at the poker table -- and win. DeepStack, a software program developed at the University of Alberta's Computer Poker Research Group, took on 33 professional poker players in more than 44,000 hands of Texas hold'em. Overall, the program won by a significantly higher margin than if it had simply folded in each round, according to a new study in Science.


AI vs. human: Are computers destined to beat us in every game?

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It has been almost 20 years since Deep Blue famously defeated the world chess champion Garry Kasparov, and one years since Google developed an AI which defeated the world's greatest Go player. Now AI development has seemingly taken a further step in defeating some of the world's greatest players in Super Smash Bros. Melee. As Quartz reports, an AI developed by MIT student Vlad Firoiu was able to defeat some of the best Smash players in the world, representing a new frontier in how AI can develop to beat humans in every game. While the AI did not face the very best players, one of the players who lost admitted that "I am not sure if anyone could beat it." While this accomplishment is impressive, AI still has improvements it can make until it can actually outthink humans in every single game out there.


Google's neural network is learning to encrypt its own messages

Daily Mail - Science & tech

Computers can now keep SECRETS: Google's neural network is learning to encrypt its own messages Experts like Professor Stephen Hawking and Elon Musk have warned of the dangers of artificial intelligence becoming too smart and turning against humanity. Now it seems a team at Google has brought computing another step towards this nightmare becoming a reality, by teaching its networks to keep secrets. The computer systems have learn how to protect their messages away from prying eyes. Ateam at Google has taught its networks to keep secrets. Just last week, Professor Stephen Hawking warned artificial intelligence could develop a will of its own that is in conflict with that of humanity.


Artificial intelligence set to 'Go' to new challenge

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When a person's intelligence is tested, there are exams. When artificial intelligence is tested, there are games. But what happens when computer programs beat humans at all of those games? This is the question AI experts must ask after a Google-developed program called AlphaGo defeated a world champion Go player in four out of five matches in a series that concluded Tuesday. Long a yardstick for advances in AI, the era of board game testing has come to an end, said Murray Campbell, an IBM research scientist who was part of the team that developed Deep Blue, the first computer program to beat a world chess champion.