Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

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 ...

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 ...

Forecasting tropical weather is challenging, but new tools have emerged over the past couple of years that are proving beneficial. Thank machine learning. The European Center for Medium-Range Weather ...

Modern industry is moving beyond simple monitoring. By integrating Predictive AI with a digital twin service, businesses are ...

The authors analyze the interest rate risk in the banking book regulations, arguing that financial institutions must develop robust models for forecasting ...

Accurately predicting solar irradiance and wind flow patterns is requisite for renewable energy forecasting—but precision alone simply isn't enough. The data must be actionable, fast, and seamlessly ...