The Turing award, often considered the Nobel prize of computing, has gone to two computer scientists for their work on reinforcement learning, a key technique in training artificial intelligence model

Reinforcement learning pioneers Andrew Barto and Richard Sutton receive the Turing Award for revolutionizing AI innovation and shaping the future of technology.

Two trailblazing scientists who today received this year’s Turing Award for creating fundamental artificial intelligence training techniques are using the spotlight to shine concern on the dangers of rushing AI models out for public consumption.

Retired UMass Amherst professor Andrew Barto and his doctoral student Richard Sutton are the winners of this year's A.M. Turing Award.

Andrew Barto and Richard Sutton have a long collaborative history which started in the late 1970s when they began their work into RL.

The Turing Award, sometimes referred to as the "Nobel Prize of computing" was given to a University of Massachusetts Amherst computer scientist and his former graduate student.

Teaching machines in the way that animal trainers mold the behavior of dogs or horses has been an important method for developing artificial intelligence (AI) and one that was recognized Wednesday with the top computer science award.