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?


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.

Take that, A.I.: Video-gamers solve quantum physics mystery using human intuition

Los Angeles Times

Computers may trounce humans at games like chess and Go, but there's one game we've still got a lock on: quantum physics. Scientists who had people play an online video game that mimicked a troublesome quantum mechanical problem found that the gamers were far better than the computers at working out viable solutions. The findings, published in the journal Nature, offer a surprisingly effective method of dealing with still-puzzling problems in quantum mechanics – and show that artificial intelligence may still have a lot to learn from the power of human intuition. Scientists have been working to develop quantum computers, which takes advantage of the bizarre ways in which matter behaves at the tiniest of scales. Quantum computers have the potential to vastly outstrip the abilities of conventional devices, allowing them to perform a wide range of complex tasks, from cracking encrypted codes to operating self-driving cars.

Don't call Google's DeepMind computer 'artificial intelligence'


To the editor: I was dismayed by the article on Google DeepMind's computer. It was further evidence of how the media's naivete regarding the term "artificial intelligence," or AI, has totally corrupted its meaning. DeepMind, as well as IBM's legendary Jeopardy super-champion Watson and numerous other cited AI systems all have the intelligence of a rock. The intelligence of these systems lies in the human intelligence of the programmers that created the systems, not in the systems themselves. The generally accepted test for true AI is the Lovelace test, which was created, in partnership, by David Ferrucci, who not incidentally was the head of IBM's Watson development team.

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.