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

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

Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

Google DeepMind, a London-based AI research lab, has been in the business of machine learning-based weather forecasting for several years, but back in June announced a new experimental AI model ...

Forecasting inflation has become a major challenge for central banks since 2020, due to supply chain disruptions and economic uncertainty post-pandemic. Machine learning models can improve forecasting ...

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 ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

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