Researchers found that the more sophisticated an AI model is, the more likely it is to show signs of suffering.

Researchers use statistical physics and "toy models" to explain how neural networks avoid overfitting and stabilize learning in high-dimensional spaces.

A psychiatrist's guide to immersive mentorship and the NBA Summer league program developing tomorrow's sports business ...

For more than a decade, neuroscientists had recordings from monkey brains learning to sort visual patterns. They had analyzed ...

Computational modelling, machine learning, and broader artificial (AI) intelligence approaches are now key approaches used to understanding and predicting ...

Recent advances in large-scale AI models, including large language and vision-language-action models, have significantly expanded the capabilities of ...

Abstract: Many deep learning methods represented by graph-based approaches achieve significant progress in drug repositioning. However, these graph-based methods face a critical limitation: they often ...

Bob Barker managed to charm millions of viewers on one of America’s favorite game shows The Price Is Right. But behind the cameras, he controlled the employees with a “ruthless iron fist” and allowed ...

Most conversations about corporate training focus on content quality, instructor expertise or learner motivation. Walk into any L&D conference, and you'll hear debates about engagement strategies, ...

Imitation learning teaches AI agents by example: show the agent recordings of how people perform a task and let it infer what to do. The most common approach, Behavior Cloning (BC), frames this as a ...

According to Fei-Fei Li (@drfeifei), the inaugural BEHAVIOR Challenge has demonstrated significant progress in robotic learning and embodied AI, with top-performing teams excelling across 50 complex ...