A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by ...
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 ...
AI could transform materials R&D. But how it does this, and how well it is adopted, is yet to be seen. Here, we take a look ...
Structural economic models, while parsimonious and interpretable, often exhibit poor data fit and limited forecasting performance. Machine learning models, by contrast, offer substantial flexibility ...