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How computers were finally able to best poker pros

#artificialintelligence

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.


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.


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.


Tech billionaires convinced we live in the Matrix are secretly funding scientists to help break us out of it

The Independent - Tech

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display


AI trained to slay players in a computer game could one day lead to killer robots

Daily Mail - Science & tech

Two students have built an AI that could be the basis of future killer robots. In a controversial move, the pair trained an AI bot to kill human players within the classic video game Doom. Critics have expressed concern over the AI technology and the risk it could pose to humans in future. Devendra Chaplot and Guillaume Lample, from Carnegie Mellon University in Pittsburgh trained an AI bot - nicknamed Arnold - using'deep reinforcement learning' techniques. While Google's AI software had previously been shown to tackle vintage 2D Atari games such as Space Invaders, the students wanted to expand the technology to tackle three-dimensional first-person shooter games like Doom.