AI is searching particle colliders for the unexpected ...

Demis Hassabis, Google Deepmind CEO, just told the AI world that ChatGPT's path needs a world model. OpenAI and Google and ...

AI weather and climate prediction is more accessible than ever for scientists, startups, developers, enterprises and government agencies worldwide. At the American Meteorological Society’s Annual ...

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.

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

Electrochemical impedance spectroscopy (EIS) provides valuable insights into the physical processes within batteries – but how can these measurements directly inform physics-based models? In this ...

Dilaton (EMD) holographic QCD model combined with Bayesian analysis to conduct a detailed investigation into 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 ...

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 ...