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

The era of AI evangelism is giving way to an era of rigorous evaluation, as 2026 sees a pivotal shift in how we measure neural network capabilities. Recent breakthroughs in stress testing, including ...

Scientists have developed a new AI method that can work backward from patterns to uncover the hidden processes driving them.

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 ...

What are the first steps that chart the path for a cell to become a blood cell, neuron cell, or pigment cell? Scientists have ...

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...

In almost every lab at the Institute, researchers are delving into AI. And the tools they’re developing and deploying have already turbocharged existing methods and opened new pathways to discovery.

Neural networks are able to build personalized learning of a foreign language, eliminating the main psychological barrier — ...

Elevoc Technology announced that its co-founder, Professor DeLiang Wang, has been recognized in the 2025 ScholarGPS 'Highly ...