Artificial intelligence has moved from crunching physics data in the background to actively proposing new theories and ...

Understanding and predicting complex physical systems remain significant challenges in scientific research and engineering. Machine learning models, while powerful, often fail to follow the ...

Innovations in World Foundation Models (WFM) will be critical for developing AI that can act on data about the world. These combine physics world models for simulation with Large Language Models (LLM) ...

Hybrid climate modelling has emerged as an effective way to reduce the computational costs associated with cloud-resolving models while retaining ...

The six-year Dark Energy Survey has released its full results, showing that two leading models of cosmology are equally valid — but both fail to explain one key observation.

As drones survey forests, robots navigate warehouses and sensors monitor city streets, more of the world's decision-making is occurring autonomously on the edge—on the small devices that gather ...