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Two pioneers in the field of reinforcement learningnew555, Andrew Barto and Richard Sutton, are the winners of this year's A.M. Turing Award, the tech world's equivalent of the Nobel Prize.

Barto, 76, and Sutton, 67, began their research in the late 1970s, laying the foundation for many of the significant AI advancements in the past decade. Central to their work was the development of so-called hedonistic machines that could continuously adapt their behavior in response to positive signals.

Reinforcement learning, a key aspect of their research, was behind a Google computer program's victory over the world’s top human players in the ancient Chinese board game Go in 2016 and 2017. It has also played a crucial role in enhancing popular AI tools like ChatGPT, optimizing financial trading, and enabling a robotic hand to solve a Rubik’s Cube.

Jenner revealed that she battled postpartum depression again when she gave birth to Aire. She revealed that she was going through a tough time emotionally and mentally as she dealt with the baby blues. She mentioned that she struggled to pick a name for her son. She continued, “I was on the phone with my mom all day hysterically crying, saying, ‘I can’t figure out his name.’ I felt like such a failure that I couldn’t name him. He deserved so much more than that. It just really triggered me.”

Barto said the field was not fashionable when he and his doctoral student, Sutton,fef777 Cassinos ao Vivo Brasil began crafting their theories and algorithms at the University of Massachusetts, Amherst.

“We were kind of in the wilderness,” Barto said in an interview with The Associated Press. “Which is why it’s so gratifying to receive this award, to see this becoming more recognized as something relevant and interesting. In the early days, it was not.”

Google sponsors the annual $1 million prize, which was announced Wednesday by the Association for Computing Machinery.

Barto, now retired from the University of Massachusetts, and Sutton, a longtime professor at Canada's University of Alberta, aren't the first AI pioneers to win the award named after British mathematician, codebreaker and early AI thinker Alan Turing. But their research has directly sought to answer Turing's 1947 call for a machine that “can learn from experience” — which Sutton describes as “arguably the essential idea of reinforcement learning.”

In particular, they borrowed from ideas in psychology and neuroscience about the way that pleasure-seeking neurons respond to rewards or punishment. In one landmark paper published in the early 1980s, Barto and Sutton set their new approach on a specific task in a simulated world: balance a pole on a moving cart to keep it from falling. The two computer scientists later co-authored a widely used textbook on reinforcement learning.

“The tools they developed remain a central pillar of the AI boom and have rendered major advances, attracted legions of young researchersnew555, and driven billions of dollars in investments,” said Google’s chief scientist Jeff Dean in a written statement.