Artificial intelligence models have improved weather forecasting, but their inner workings are largely opaque. A new approach ...

Long-term weather forecasting is a difficult task, partly because weather systems are inherently chaotic. Though mathematical ...

A research team has studied the development of the Shanghai Typhoon Model from a traditional physics-based regional model toward a data-driven, machine-learning typhoon forecasting system. They ...

Oil spills can be among the most devastating environmental disasters, with the potential to severely damage marine ecosystems, disrupt coastal communities, and impose lasting economic damage.

Small can be powerful. In the discussions of AI engines, large language models (LLMs) often dominate the conversation due to their inherent popularity, power and utility, however, Small Language ...

By combining physics-based methods with machine learning, a team at the Institute of Thermodynamics and Sustainable ...

The Meta AI team has recently officially launched the MobileLLM-R1 series of efficient inference models, marking a new development stage for small parameter language models. This series includes base ...

Trained on quantum data, a new model makes computations more accurate while keeping computer costs low ...