News by Subject Technology & Engineering

It's no secret the US Army wants its small unmanned aerial systems to operate quietly in densely-populated regions, but tests to achieve this can be expensive, time-consuming and labor-intensive according to researchers.

Sailing from Hobart, twenty researchers aboard CSIRO's RV Investigator hope to capture the most detailed picture yet of how marine life in the Southern Ocean captures and stores carbon from the atmosphere.

A new tool combining traditional pathology with machine learning could predict which breast cancer patients actually need surgery. The technology, reported in the November issue of American Journal of Physiology -- Cell Physiology (vol. 319: C910-C921; https://doi.org/10.1152/ajpcell.00280.2020), could spare women from unnecessary treatments, reduce medical expenses, and lead to a new generation of drugs to stop breast cancer recurrences.

Using public data from the entire 1,500-square-mile Los Angeles metropolitan area, PNNL researchers reduced the time needed to create a traffic congestion model by an order of magnitude, from hours to minutes.

Autonomous systems are affecting virtually all aspects of society, so future designs must be guided by a broad range of societal stakeholders, according to a new report led by the Oden Institute at UT Austin.

Researchers have developed a way for a material to store energy in its skin through invertible domes.

Automated deep learning analysis of abdominal CT images produces a more precise measurement of body composition and predicts major cardiovascular events, such as heart attack and stroke, better than overall weight or body mass index (BMI), according to a study presented today at the annual meeting of the Radiological Society of North America (RSNA).