New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially ...

A team from the University of Córdoba is using artificial intelligence to forecast the annual solar energy available in ...

Researchers from UC Berkeley, Yale, Stanford’s Global Policy Laboratory, and NBER developed a deep learning method to predict ...

Have you ever stopped to wonder how forecasters can predict the weather days in advance, or how scientists figure out how the ...

This new model combines elements of the traditional models with newer machine-learning techniques that automatically learns the state of a river's watershed from observed data. This eliminates the ...

Scientists have developed AI-based system that can predict wheat yields early and with high accuracy using handheld field ...

The proposed approach reduces computational cost while maintaining high predictive accuracy, making it suitable for large-scale applications JEONBUK-DO, South Korea, March 16, 2026 /PRNewswire/ -- ...

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially when considering challenges ...

Over the past year, the UK’s national weather and climate services have undergone one of the most significant technological ...

Shallem, Greg Ravikovich and Eitan Har-Shoshanim examine how AI addresses the challenge of data overload in solar PV.

We hear how Nvidia's Earth-2 weather models could revolutionize the future of forecasting.