Researchers from Nanjing University and Carnegie Mellon University have introduced an AI approach that improves how machines learn from past data—a process known as offline reinforcement learning.

Explore the hidden trade-offs of reinforcement learning in AI and why base models might hold the key to true intelligence.

AI offers a surprising lens on how we think about student motivation and why behavior may matter more than belief.

A team of AI researchers at the University of California, Los Angeles, working with a colleague from Meta AI, has introduced d1, a diffusion-large-language-model-based framework that has been improved ...

like Eriksen – who went into cardiac arrest during the 2020 Euros – is learning what it means to be an elite athlete with a heart problem. “I’m a football fan, I grew up in Copenhagen ...