In the first game of his match with AlphaGo—the Go-playing machine built by Google’s DeepMind—Chinese grandmaster Ke Jie opened with a move straight from the playbook of his AI opponent. But the gambit didn’t work. After four hours and fifteen minutes of play, the 19-year-old grandmaster resigned, and AlphaGo grabbed a 1–0 lead in this best-of-three match.
Modern civilisation is a miraculous feat, one made possible by science. Every time I take a flight, I marvel at the technology that has allowed us to soar above the clouds as a matter of routine. We have mapped the genome, built supercomputers and the internet, landed probes on comets, smashed atoms at near light speed in particle accelerators and put a man on the Moon.
Is it better to cooperate with your peers and achieve goals together or eliminate your competition and achieve goals alone? In a research paper published this week, new DeepMind simulations suggest that whether robots are more likely to kill or cooperate could depend on how intelligent they are.
Demis Hassabis, cofounder of Google-owned firm DeepMind, and Jeff Dean, who leads the Google Brain project, have both hinted that StarCraft will be their next target, while Facebook researchers have just released an open-source platform designed to help people develop AI to play the game.
DEEPMIND’S office is tucked away in a nondescript building next to London’s Kings Cross train station. From the outside, it doesn’t look like something that two of the world’s most powerful technology companies, Facebook and Google, would have fought to acquire. Google won, buying DeepMind for £400m ($660m) in January 2014. But why did it want to own a British artificial-intelligence (AI) company in the first place? Google was already on the cutting edge of machine learning and AI, its newly trendy cousin. What value could DeepMind provide?
Androids may not, as science fiction writer Philip Dick once posited, dream of electric sheep. But the newest artificial intelligence system from Google’s DeepMind division does indeed dream, metaphorically at least, about finding apples in a maze.
Researchers at DeepMind wrote in a paper that they had achieved a leap in the speed and performance of a machine learning system.
Google-owned artificial intelligence company DeepMind presented a deep neural network that generates amazingly human-like speech. Called WaveNet, this AI makes a significant advancement over existing speech synthesizers. What’s more, it can write pretty good classical music.
With the boom in AI affecting virtually every industry, there has been an explosion in the research and development of machine learning, a subfield of AI. And, perhaps, no system better illustrates what machine learning is capable of than Google’s DeepMind. Founded in London in 2010 by Demis Hassabis, Shane Legg, and Mustafa Suleyman, DeepMind […]