Cambridge researchers unveil faster and more accurate AI weather system that rivals supercomputers | The system can generate global and local forecasts in minutes using a desktop computer

From the article: Aardvark Weather, an AI-based system, promises to significantly enhance weather forecasting by delivering predictions dozens of times faster while using thousands of times less computing power than current methods. This system has been developed by [researchers](https://www.nature.com/articles/s41586-025-08897-0) at the University of Cambridge, with support from the Alan Turing Institute, Microsoft Research, and the European Centre for Medium Range Weather Forecasts.

The speed and efficiency of modern forecasting systems are vital, as traditional methods rely on powerful supercomputers and extensive teams of experts, often requiring several hours to produce forecasts.

Recent innovations from tech giants such as Huawei, Google, and Microsoft have demonstrated that AI can significantly improve specific aspects of the forecasting process, including numerical solvers, which are crucial in weather forecasting as they simulate how atmospheric conditions evolve over time. These companies have achieved faster and more accurate predictions by integrating AI into these solvers.