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, ...

In joint research with the University of Tokyo (UTokyo), the National Institute of Advanced Industrial Science and Technology (AIST), Tohoku University, and Kyoto Institute of Technology, the National ...

FAYETTEVILLE, Ark. — Understanding where farm animals are raised is crucial for managing their environmental impacts and developing technological solutions, but gaps in data often make it challenging ...

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, ...