A bewildering array of new terms has accompanied the rise of artificial intelligence, a technology that aims to mimic human thinking. From generative AI to machine learning, neural nets and ...

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

A study using the MLRegTest benchmark tested 1,800 artificial languages to evaluate whether neural networks can learn underlying rules rather than just patterns. The results show that while models ...