AI Pioneer Richard Sutton Founds New Research Lab

AI pioneer Richard Sutton founds new research lab

Reinforcement learning pioneer and Turing Award winner Richard Sutton is striking out on his own, founding a new AI research lab focused on real-time learning that will reduce compute demands.  The news: On Monday, Sutton and his colleague Khurram Javed both announced they were leaving positions at Keen Technologies—another AI research firm founded by virtual reality-pioneer John Carmack—to found their own boutique firm called Oak Lab. Sutton an…

Richard Sutton leaves Carmack to start his own AI lab

One of the most decorated minds in AI is striking out alone. Richard Sutton shared the 2024 Turing Award for founding modern reinforcement learning. On Monday he said he is leaving John Carmack’s startup Keen Technologies to start a new one, Oak Lab. He announced it plainly on X. He praised Carmack and Keen, then […] This story continues at The Next Web

Turing Award winner Richard Sutton’s new venture is a bet against today’s AI models

The long-term goal of Oak Lab is to build an agent with "a trillion parameters that learns and plans in real time with 20 watts of energy."

'Father of Reinforcement Learning' Richard Sutton Starts Oak Lab To Work On New Approaches To AI

Yet another senior AI researcher has set out on his own to explore AI approaches distinct from LLMs. Richard Sutton, the University of... The post ‘Father of Reinforcement Learning’ Richard Sutton Starts Oak Lab To Work On New Approaches To AI appeared first on OfficeChai.

Turing Award winner Rich Sutton founds Oak Lab to build AI agents that learn on their own

Richard Sutton, 2024 Turing Award winner and co-founder of modern reinforcement learning, has launched a new startup called Oak Lab in Toronto. He calls current deep learning methods "weak and inefficient" and wants to build AI agents that learn continuously from their environment. The article Turing Award winner Rich Sutton founds Oak Lab to build AI agents that learn on their own appeared first on The Decoder.