AlphaGo AI program goes into stealth mode to beat the pants off Go game pros by Alan Boyle on January 4, 2017 at 5:54 pm January 4, 2017 at 5:59 pm Share 1 Tweet Share Reddit Email ...

"Congrats to the champion for holding us off this time," OpenAI wrote after its model came second at the AtCoder Heuristics ...

The Go master, Lee Se-dol of South Korea, had initially predicted he would beat AlphaGo in at least four of the five scheduled games, arguing that the 3,000-year-old Chinese game requires "human ...

DeepMind made a stir in January 2016 when it first announced it had used artificial intelligence to master Go, a 2,500-year-old game. Computer scientists had struggled for years to get computers ...

After three days of training, the system was able to beat AlphaGo Lee, DeepMind’s software that defeated top Korean player Lee Sedol last year, 100 games to zero.After roughly 40 days of ...

AI experts thought it could take until the year 2100, if not longer, for people to create an AI system that can beat a human at Go, according to a 1997 New York Times article posted on Reddit's ...

A South Korean master of the ancient strategy game Go has announced his retirement from professional competition due to the rise of what he says is unbeatable artificial intelligence.

DeepMind's latest AI, MuZero, didn't need to be told the rules of go, chess, shogi and a suite of Atari games to master them. In 2016, Alphabet's DeepMind came out with AlphaGo, an AI which ...

Games have long served as a benchmark for progress in the field of AI. For instance, in 2016, DeepMind's AlphaGo beat a professional human Go player.The following year, the Libratus system beat ...

DeepMind, a British AI subsidiary of Alphabet, Google's parent company, has been tinkering with Go AI for a number of years. In 2017, DeepMind retired former AI champion AlphaGo , but continued ...