DeepMind uses its AlphaTensor AI to quickly solve a matrix multiplication problem by building a custom TensorGame board game, beating a 50-year-old record
The new version of AlphaZero discovered a faster way to do matrix multiplication, a core problem in computing that affects thousands of everyday computer tasks.
David Silver, a principal research scientist at DeepMind, on AlphaGo, AlphaZero, and MuZero, applying reinforcement learning to real world problems, and more
David Silver of DeepMind, who helped create the program that defeated a Go champion, thinks rewards are central to how machines—and humans—acquire knowledge.
DeepMind details MuZero, revealed in 2019 and following AlphaZero, which can master games without knowing the rules and is working on YouTube video compression
Leo Kelion / BBC :
DeepMind details MuZero, revealed in 2019 and following AlphaZero, which can master games without knowing the rules and is working on YouTube video compression
DeepMind's latest AI program can attain “superhuman performance” in tasks without needing to be given the rules.
How DeepMind worked with former world chess champion Vladimir Kramnik to make its AI, AlphaZero, learn new variants, which could make AI chess more creative
Tom Simonite / Wired :
DeepMind's new AI program, AlphaZero, taught itself to play and beat the world's best AI in three different board games: chess, shogi, and Go
Jackson Ryan / CNET :
DeepMind's new AI program, AlphaZero, taught itself to play and beat the world's best AI in three different board games: chess, shogi, and Go
Humans have mostly accepted that they will never be as good at chess as the robots, but now even the robots have to accept they will never be as good as other robots.