AI-driven models led both track and intensity predictions in the 2025 Hurricane Season, outperforming traditional models and ...

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

A forecast can reconcile cleanly on paper while embedding assumptions that have never been examined against how customers, ...

Machine learning-driven carrier risk modeling enables supply chains to predict and prevent pickup defects, reducing costs and improving on-time performance.

UGA's Weather Dawgs use a high-resolution model to create localized forecasts for Athens, improving accuracy for residents.

Here's a look at the news highlights from Asean countries in the Star-AseanPlus section for Tuesday (March 24, 2026) ...

KXAN sat down with a member of the Austin AI Alliance and discussed results from one of the alliance’s recent polls revealing ...

Abstract: Accurate mid-term load forecasting at the building level is vital for the strategic planning, operation, and sustainability of modern power systems. Machine learning approaches often require ...

Overview:  Data science projects are driving innovation across industries like healthcare, finance, and climate science.AI ...

U.S. Customs and Border Protection says it confiscated 39 live python snakes hidden in a vehicle attempting to cross into ...

The hot weather is a health risk for people, but it's also bad news for the region's snowpack and could trigger an earlier ...

A major shift in the global climate pattern is underway as the tropical Pacific starts to transition out of a fading La Niña and toward a potential El Niño later this year. Some forecast models ...