The University of Hong Kong (HKU) has spearheaded an international research collaboration to develop a pioneering theoretical ...

New multiplexed imaging technology using standard clinical MRI systems can simultaneously map more than 20 biomarkers in high resolution, providing a comprehensive view of the brain with a single scan ...

Abstract: Space-air-ground integrated networks (SAGINs) are emerging as a fundamental architecture for 6G systems to enable massive connectivity, novel applications, extreme data rates, ultra-low ...

Predicting observable traits from genetic variation remains difficult due to the complex interplay of multiple genes and environmental influences. Widely used statistical approaches are limited in ...

A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...

Researchers at Stevens Institute of Technology used machine learning tools and social network theory—the study of how people connect with each other—to better understand how people interact online.

At the dawn of complex life, evolution created a container for DNA, its most treasured item. A few billion years later, 20th-century microscopists looked at this container — the nucleus — up close and ...

A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.

WASHINGTON — Intuitive Machines will work with Telespazio on their planned lunar satellite networks to ensure interoperability and improve performance. The companies announced Dec. 11 a strategic ...