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

Hydrological models represent water movement in natural systems, and they are important for water resource planning and ...

Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...

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 ...

Artificial intelligence (AI) is rapidly transforming healthcare. AI systems can now detect diabetic eye disease from retinal photos and analyze CT images for signs of early-stage lung cancers and ...