A hybrid CatBoost pipeline using synthetic sampling and optimized class weights achieved the strongest reported ...

A new physics-informed machine learning framework embeds hysteretic mechanical laws into neural network training, reproducing ...

A new model accurately reproduces aspects of polar vortex behavior, extracting indicators of imminent vortex collapse and accompanying frigid weather in North America and Europe.

"Which products will sell, and how many, next month?""How many hours will this task take?""Can we identify conditions prone ...

Weather forecasts have historically had a time frame hurdle that most weather models can't accurately predict beyond, but a group of researchers at the Massachusetts Institute of Technology (MIT) say ...

Guest column: For centuries, humans looked to seers and astrologers to determine fate. Today, we look to algorithms, and the loss of agency is the same. Editors’ note: Welcome to CNET’s new series of ...

Machine learning models utilizing cardiovascular and lifestyle factors can accurately predict the 10-year risk of dementia in both men and women.

In this note, with the theme of can we beat a '99-point' index investment? I, a company employee who has dabbled a bit in ...

Machine learning (ML) aims to predict outcomes with greater accuracy and discern trends humans would likely miss when relying solely on conventional statistical methods. A machine learning algorithm ...

Among ventilated adults who underwent extubation, 18.7% were high risk for extubation failure per machine learning even though they met traditional low-risk criteria, according to data presented at ...