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

What if farmers could see a pest outbreak coming before the insect ever had a chance to damage their crop? New research from ...

Researchers in China conceived a new PV forecasting approach that integrates causal convolution, recurrent structures, attention mechanisms, and the Kolmogorov–Arnold Network (KAN). Experimental ...

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 ...

Magnetic resonance imaging (MRI) radiomics as predictor of clinical outcomes to neoadjuvant immunotherapy in patients with muscle invasive bladder cancer undergoing radical cystectomy. This is an ASCO ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

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

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 ...

Weather forecasting has gotten a big boost from machine learning. How that translates into what users see can vary.

A new satellite mission backed by NASA and the European Space Agency (ESA) is poised to strengthen global hurricane forecasting by measuring ocean heat and sea surface height more precisely than ever ...