Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

The advancement of artificial intelligence (AI) algorithms has opened new possibilities for the development of robots that ...

While most classes at USC aren’t teaching artificial intelligence in-depth, the job market will reward students who are fluent in the technology, said Glenn Melnick, a professor ...

Structural economic models, while parsimonious and interpretable, often exhibit poor data fit and limited forecasting performance. Machine learning models, by contrast, offer substantial flexibility ...