How can artificial intelligence (AI) help predict weather forecasts with better accuracy and efficiency than current weather forecast methods? This is what a recent study published in Nature hopes to ...

For weather forecasting, we traditionally use numerical weather prediction models that are based on physics principles and have seen large improvements over the last 20–30 years.

Cambridge scientists have made a major breakthrough in weather forecasting after developing a new AI prediction model that is tens of times better than current systems. The new model, called ...

Depending on the complexity, it can generate a forecast in seconds or minutes, using only about 10% of the weather data required by current forecasting systems.

ZenaTech updates on its AI drone and quantum computing project, "Clear Sky," aimed at improving localized weather forecasting.

A new AI weather prediction system, Aardvark Weather, can deliver accurate forecasts tens of times faster and using thousands of times less computing power than current AI and physics-based ...

Weather forecasting has, since the 1950s, relied on physics-based models that extrapolate from observations made using satellites, balloons and weather stations.

The method was tested on the East China Regional AI Medium Range Weather Forecasting Competition dataset, which includes 10 years of reanalysis data from ERA5. The task involved using past ...

Advanced systems from Microsoft and Google are already outperforming traditional forecasting models.