Ph.D. student Phillip Si and Assistant Professor Peng Chen developed Latent-EnSF, a technique that improves how ML models assimilate data to make predictions.

A range of national meteorological services across Europe and ECMWF have launched Anemoi, a framework for creating machine learning (ML) weather forecasting systems. Named after the Greek gods of the ...

Meteorologists and other environmental scientists rely on numerical forecast models to aid in developing a weather outlook. These models, such as the American GFS model and European ECMWF model, use ...

ECMWF Launches First Operational AI Weather Model ECMWF has been developing the Artificial Intelligence Forecasting System (AIFS) to run side by side with its traditional physics-based Integrated ...

CONTINUES TO SHAPE THE WORLD AROUND US, AI IS HAVING A REAL IMPACT. METEOROLOGIST DYLAN HUDLER SHARES HOW ARTIFICIAL INTELLIGENCE IS BEING USED IN FORECASTING TO PROVIDE MORE ACCURATE PREDICTIONS, ...

Google DeepMind, a London-based AI research lab, has been in the business of machine learning-based weather forecasting for several years, but back in June announced a new experimental AI model ...

The system, dubbed Aardvark Weather, generates forecasts tens of times faster than traditional forecasting systems using a fraction of the computing power, researchers reported Thursday (March 20) in ...

Artificial Intelligence is rapidly transforming modern weather forecasting — but researchers now warn it may also become a ...

When supply chain practitioners think about forecasting, they focus on demand forecasting. Demand forecasting is essential, but the number of different forecasts that an effective organization should ...