University of Geneva-led research says machine learning forecasts underestimate intensity, frequency of heat waves, cold ...

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 ...

A new study comparing machine learning-based portfolio optimization with the traditional all-weather portfolio found that certain AI models, including LASSO and elastic net, delivered Sharpe ratios ...

Wildfire smoke no longer stays in the West. In recent years, plumes have repeatedly drifted across the continent, triggering ...

Researchers have developed a feature selection-based solar irradiance forecasting method to improve the operation of ...

Environmental DNA (eDNA) and metabarcoding are transforming biodiversity monitoring by enabling rapid, non-invasive assessments of community composition ...

For decades, businesses have relied on spreadsheets and manual data entry to forecast and manage cash flow. These traditional methods ...

Artificial intelligence is accelerating a shift in financial forecasting, blending traditional accounting principles with machine learning, big data, and predictive analytics to improve accuracy and ...

A former Snowflake data scientist who refined multi-billion-dollar forecasts is now building AI models that outperform Claude ...