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

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

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

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

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

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 ...

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

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.

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

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

Researchers discuss scaling laws and emergent capabilities, while investors focus on markets, competitors, and exits. The ...