A systematic review of 78 papers examines how machine learning methods support demand forecasting and inventory ...

A machine-learning correction layer built by a team led from MIT has roughly doubled the accuracy of the European Centre for Medium-Range Weather Forecasts model for forecasts two to six weeks ahead, ...

An iterative deep learning framework accurately forecasts community disease surges three days ahead by analyzing coronavirus ...

Successful test results of a new machine learning (ML) technique developed at Georgia Tech could help communities prepare for extreme weather and coastal flooding. The approach could also be applied ...

A team of researchers at the Universities of Lincoln, Sheffield, and Reading have developed a new method to improve the prediction of seasonal weather conditions in the U.K. and Northwest Europe. The ...

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 ...

Researchers in China have applied a machine learning technology based on temporal convolutional networks in PV power forecasting for the first time. The new model reportedly outperforms similar models ...

CBK is implementing AI use cases across 14 departments, with applications covering inflation forecasts, GDP nowcasting, ...