A machine learning ensemble trained on 24 wetland sites estimates that Southeastern U.S. wetlands took up a net 20 teragrams ...

A combination of drone-based remote sensing and machine learning could help researchers monitor soil health across larger areas, according to a University of Alberta study.

Researchers developed NiCLIP, an AI model that decodes cognitive tasks, concepts, and domains from brain activation patterns. Trained on over 23,000 papers, NiCLIP excels at group-level decoding, ...

Scientists at the Cornell Lab of Ornithology have developed a novel way to model whether the populations of more than 500 bird species are increasing or decreasing. The method solves a nagging ...

In a unique collaboration, DTU Compute and DIKU have created a new technology that can help the biotech industry to develop new proteins faster. The biotech industry is constantly searching for the ...

Researchers are using machine learning to map where sharks face the most risk from longline fishing. The ocean can be a dangerous place, even for a shark. Despite sitting at the top of the food chain, ...