Game types that teach AI useful skills for the real world: Type Navigational know-how, for example, could help search-and-rescue robots prowl tough terrain, and AIs that know how to manage many workers could help run companies. The researchers described this work online at in January.ĪI can practice different skills in video games to learn how to get along in the real world. For instance, after the San Francisco–based company OpenAI trained a five-AI squad to play an online battle game called Dota 2, the programmers repurposed those algorithms to teach the five fingers of a robotic hand to manipulate objects with unprecedented dexterity. “The ultimate idea is to … use those algorithms real-world challenges,” says Sebastian Risi, an AI researcher at IT University of Copenhagen. When it comes to making an AI that can deal with real-world ambiguity and fast-paced interactions, the most useful tests of machine cognition will probably be found in games played in virtual worlds.īuilding AI gamers that can trounce human players is more than a vanity project. These games are still pretty simple - players take turns and can see every piece’s position on the board at all times. 28).īut board-based contests like chess and Go can only push AI so far. In 2016, DeepMind’s AlphaGo famously overpowered Go champion Lee Sedol ( SN: 12/24/16, p. In 1997, IBM’s Deep Blue earned international acclaim by outwitting chess champion Garry Kasparov ( SN: 8/2/97, p. Researchers have long used games as benchmarks for AI smarts. Three matches later, AlphaStar had won the competition 5-0, relegating Wünsch to the small but growing club of world-class gamers bested by a machine. But in the second round, AlphaStar surprised the pro gamer by withholding attacks until it had amassed an army that once again crushed Wünsch’s forces. But AlphaStar made a winning comeback, assembling a tenacious strike team that quickly laid waste to Wünsch’s defenses. For a minute, it looked like StarCraft II would remain one realm where humans trump machines. Sure enough, when AlphaStar faced off against Wünsch on December 12, the AI appeared to commit a fatal mistake at the onset of the first match: It neglected to build a protective barrier at the entrance to its camp, allowing Wünsch to infiltrate and quickly pick off several of its worker units. So far, no one had created a system that could beat seasoned human players. They were the latest in a long line of researchers who had tried to build an AI that could handle StarCraft II’s dizzying complexity. No way could he lose this five-match challenge to a newly minted AI gamer.Įven AlphaStar’s creators at the London-based AI research company DeepMind, which is part of Alphabet, Inc., weren’t optimistic about the outcome. Wünsch had been professionally playing StarCraft II, in which competitors command alien fleets vying for territory, for nearly a decade. The 28-year-old from Leipzig, Germany, was about to become the first professional gamer to take on the artificial intelligence program AlphaStar in the rapid-fire video game StarCraft II.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |