A new research paper shows the approach performs significantly better than the random-walk forecasting method.

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 ...

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

With legacy load forecasting models struggling with unpredictable events that are becoming ever more common, power-hungry AI ...

As climate extremes intensify across Africa, the need for accurate and timely weather prediction has become increasingly ...

The IMF study shows that satellite data such as nighttime lights, air pollution, and vegetation health, when combined with ...

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

Machine learning reduces friction at every stage of a business, whether you’re coming up with new product ideas or getting the goods delivered to the client. It increases business efficiency, improves ...

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 ...

Every day, meteorologist Hannah Wangari takes the free graphs and maps produced by the five forecasting models she subscribes to and interprets what she sees. “What’s the likelihood of rain in ...