DeepMind beat a world champion of Go, so now it wants to try its hand at a much more popular game. Sorta.
When it first appeared in 1984, Montezuma’s Revenge was considered one of the most challenging video games to appear on a gaming console. Now, in an effort to help machines learn more efficiently, AI researchers have created an algorithm that actually motivates the hero of this classic video game in some very…
Humanity has been given another chance to redeem itself: Google’s Go-playing computer will compete against the world’s best Go player, Ke Jie, before the year is out.
Earlier this month, Google’s Go-playing AI wiped the floor with the game’s existing world champion. Now, a team of engineers from China plan to challenge AlphaGo with their own artificial intelligence system.
Google’s DeepMind AI has already played four games of Go against top human Lee Sedol, and the tally is 3-1 for the machines—good for computer scientists, bad for our betting chances against Skynet. Starting at midnight tonight, mankind has one more chance to play.
For the third time, Google’s AlphaGo has beaten Lee Sedol, the human world champion of Go. The win is an incredible demonstration of the artificial intelligence’s capabilities, and it’s a historical moment along the same lines of Deep Blue’s victory over Chess Grandmaster Garry Kasparov in 1996.
In the second of a series of matches, Google’s AI has again beaten the world champion of Go, Lee Sedol. The best-of-five tournament now requires the AI to win just once more to be crowned champion.
In the first of a series of matches, Google Deepmind’s powerful artificial intelligence AlphaGo has beaten the world champion of Go, Lee Sedol.
It’s official: The world champion of Go, Lee Sedol, will face off against Google Deepmind’s powerful artificial intelligence, called AlphaGo.
Artificial intelligence researchers at Google DeepMind are celebrating after reaching a major breakthrough that’s been pursued for more than 20 years: The team taught a computer program the ancient game of Go, which has long been considered the most challenging game for an an artificial intelligence to learn. Not only…
Since Google acquired the artificial intelligence company DeepMind for $628 million last year, it's put the software to hard work...playing Atari 2600 video games. But no really, learning how to play 49 different Atari games showcases the promises—and the weaknesses—of DeepMind's software.