A look back at “Move 37”, a watershed AI moment from AlphaGo's 2016 Go victory, as math witnesses similar breakthroughs where AI makes surprising discoveries
A look back at “Move 37”, a watershed AI moment from AlphaGo's 2016 Go victory, as math witnesses similar breakthroughs where AI makes surprising discoveries
A decade ago, a computer did something that no human would have done. It was considered a breakthrough for AI.
Reflection AI, which wants to achieve superintelligence through autonomous coding agents, emerges from stealth with a $105M Series A and $25M in seed funding
Our team pioneered major advances in RL and LLMs, including AlphaGo and Gemini. … Ioannis Alexandros Antonoglou : Excited to finally share what we've been building. — Alongside my co-founder Misha L...
Reinforcement learning pioneers Andrew Barto and Richard Sutton win the 2024 Turing Award; their work contributed to the rise of AI, like AlphaGo and ChatGPT
Andrew Barto and Richard Sutton developed reinforcement learning, a technique vital to chatbots like ChatGPT.
Google DeepMind's FunSearch model cracks the unsolved cap set problem in pure mathematics, the first time an LLM has solved a long-standing scientific puzzle
outsmarting humans Maximilian Schreiner / The Decoder : Google DeepMind's FunSearch cracks mathematical puzzles with a LLM Davide Castelvecchi / Nature : DeepMind AI outdoes human mathematicians on un...
DeepMind co-founder and CEO Demis Hassabis details Gemini, an upcoming ChatGPT rival meant to combine the strengths of AlphaGo-type systems and those of LLMs
DeepMind cofounder and CEO Demis Hassabis shares details on Gemini, a ChatGPT rival they are building that combines strengths of LLMs with AlphaGo-type systems
Will Knight / Wired :
How US sanctions forced Chinese companies to develop key tech themselves, aligning the companies' incentives with China's goal of economic self-sufficiency
In 2016, AlphaGo, a computer program developed by machine learning experts in London, beat the world's top players of the classical Chinese board game Go.
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.
Conflicting goals, mutual suspicion, and a view that AI and other advanced tech are a winner-take-all game are pushing the tech sectors of US and China apart
IN THE SPRING of 2016, an artificial intelligence system called AlphaGo defeated a world champion Go player in a match at the Four Seasons hotel in Seoul.