A cell on its way to becoming skin pigment, blood, or nerve does not make that shift alone. It responds to a dense web of ...

Recursive Superintelligence Inc., a startup that hopes to develop self-improving artificial intelligence models, launched ...

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

Artificial intelligence systems based on neural networks—such as ChatGPT, Claude, DeepSeek or Gemini—are extraordinarily ...

Researchers have developed a deep-learning-based surrogate model that dramatically speeds up simulations of nonlinear optical ...

Harvard University physicists have created a simplified mathematical model to study how neural networks learn, using statistical physics to uncover underlying patterns. The approach, likened to early ...

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...

AI model finally learns to say ‘I don’t know’ in breakthrough to curb chatbot overconfidence - New training method may help ...

GlassView, the world's largest brain-behavioral intelligence platform, today released its inaugural signal intelligence report whose findings uncover an uncomfortable truth at the heart of ...

A hunk of material bustles with electrons, one tickling another as they bop around. Quantifying how one particle jostles others in that scrum is so complicated that, beginning in the 1990s, physicists ...