Artificial intelligence has reached a new milestone, with a program beating four professional players in a poker tournament lasting 20 days. Libratus, an AI program developed by a team of researchers at Carnegie Mellon University, took on Dong Kim, Jimmy Chou, Daniel McAulay and Jason Les at no-limit Texas Hold'em in a Pittsburgh casino, eventually taking $1.76 million (£1.4 million) in chips. It's been hailed as a milestone for AI, with Libratus co-creator Tuomas Sandholm declaring, "The best AI's ability to do strategic reasoning with imperfect information has now surpassed that of the best humans." Boston Dynamics describes itself as'building dynamic robots and software for human simulation'. It has created robots for DARPA, the US' military research company Deep Blue, a computer created by IBM, won a match against world champion Garry Kasparov in 1997.
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.
Machines equipped with artificial intelligence are ever creeping into the workforce, and for humans, this could soon mean job displacement and a'universal basic income,' according to Elon Musk. The billionaire explained that our options may be limited in the future as automation becomes the norm, and this could even leave people with more time to enjoy their lives. Musk said humans will eventually need to achieve symbiosis with'digital super-intelligence' in order to cope with the advancing world – but, he warns doing this might be the toughest challenge of all. Machines equipped with artificial intelligence are ever creeping into the workforce, and for humans, this could soon mean job displacement and a'universal basic income,' according to Elon Musk (pictured) This past summer, when asked at the Code Conference in southern California if the answer to the question of whether we are in a simulated computer game was'yes', Elon Musk said the answer is'probably'. Musk believes that computer game technology, particularly virtual reality, is already approaching a point that it is indistinguishable from reality.
Marking a major step forward for artificial intelligence (AI), Libratus, an AI developed by Carnegie Mellon University (CMU), has resoundingly beaten four of the best heads-up no-limit Texas hold'em poker players in the world in a marathon, 20-day competition. After 20 days and a collective 120,000 hands played, Libratus closed out the competition Monday leading the pros by a collective $1,766,250 in chips. "I'm just impressed with the quality of poker Libratus plays," pro player Jason Les, a specialist in heads-up no-limit Texas hold'em like the other three players, said at a press conference yesterday morning. "They made algorithms that play this game better than us. We make a living trying to find vulnerabilities in strategies.
Minecraft has become a worldwide phenomenon in recent years, and its blocky universe be used to hone the next generation of artificial intelligence? Computer scientists at Microsoft Research think so, and have been using the game's universe to train an AI'agent' to learn how to do things, such as climb a mountain, using the same types of resources a human has when they learn a new task. Much to Stephen Hawking's chagrin, AI has come on leaps and bounds in recent years, and computers can now understand speech and translate it, as well as being able recognise images and write captions about them. But computers still aren't very good at what researchers call general intelligence, which is more similar to the nuanced and complex way humans learn and make decisions. This is where AIX, a platform developed by Katja Hofmann and her colleagues in Microsoft's Cambridge lab, comes in.