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 ...

AI models can process thousands of factors simultaneously, including demand signals across multiple items, macroeconomic ...

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

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

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

According to MarketsandMarkets™, the Smart Learning Market is projected to grow from USD 80.69 billion in 2025 and to reach ...

Saudi Arabia's Cash Management market is evolving with higher demand for digital solutions under Vision 2030. Key opportunities include leveraging AI for cash forecasting, automating treasury ...

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 ...

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

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