A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

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.

ECMWF Launches First Operational AI Weather Model ECMWF has been developing the Artificial Intelligence Forecasting System ...

The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, ...

NOAA is using those traditional forecasting models as frameworks for its new AI systems, which "learn to predict patterns and behaviors of the atmosphere by being trained upon decades of historical ...

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 ...

Accurately predicting the weather is hard — really hard, but a new AI-powered forecast model just hit a milestone that has experts saying your forecast could soon get more accurate, and further out, ...

Active weather spans much of the Western Hemisphere on Thursday, December 12. Accurately predicting the weather is hard — really hard, but a new AI-powered forecast model just hit a milestone that has ...

Worldwide Flight Services (WFS), a SATS company, has developed a new digital tool using machine learning algorithms trained on 10 years of operational data to deliver highly accurate forecasts of ...

Worldwide Flight Services (WFS), a SATS company, has developed a new digital tool using machine learning algorithms trained ...