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

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

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

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

By combining machine learning, robotics and analytics, farmers are gaining financial benefits by improving crop yields and ...

The Air Force Safety Center's Unit Risk Forecasting tool is now available for commanders and unit safety professionals. Unit ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

A forecasting system tailored to small watersheds has prevented weather-related disasters, including a flash flood in the ...

Some kids plan to kill. Can we discover who they are before they do? A program that combines neural and clinical data via ...

The seven-month programme is aimed at working professionals seeking to build production-ready artificial intelligence ...

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 ...