One of the things that makes the main particle accelerator at the U.S. Department of Energy's Thomas Jefferson National Accelerator Facility unique is that it was the first linear accelerator to deliver a continuous stream ...
A protein located in the wrong part of a cell can contribute to several diseases, such as Alzheimer's, cystic fibrosis, and cancer. But there are about 70,000 different proteins and protein variants in a single human cell, ...
Infrared optoelectronic functional materials are essential for applications in lasers, photodetectors, and infrared imaging, forming the technological backbone of modern optoelectronics. Traditionally, the development of ...
A team of researchers at Rice University and Baylor College of Medicine has developed a new strategy for identifying hazardous pollutants in soil, even ones that have never been isolated or studied in a lab.
University of Edinburgh scientists have harnessed the power of AI in a new tool that promises to speed up analysis of data from gel electrophoresis experiments.
A team of computer scientists, AI specialists and veterinary medicine researchers in the U.S. and the U.K., working with the dog training center, The Seeing Eye, Inc., has found that an AI model was better than humans at ...
Researchers at Rice University have developed a new machine learning (ML) algorithm that excels at interpreting the "light signatures" (optical spectra) of molecules, materials and disease biomarkers, potentially enabling ...
New research from The University of Texas at Arlington and the U.S. Department of Agriculture demonstrates how mathematical modeling can predict outbreaks of toxic fungi in Texas corn crops—offering a potential lifeline ...
Salty soils are causing reduced crop density, lower yields and barren lands unable to sustain crop growth. Sea level rise, intense storm surges and the overextraction of groundwater are driving this increasing salinity in ...
Scientists developed a machine-learning tool that can teach itself, with minimal external guidance, to differentiate between aerial images of flowering and nonflowering grasses—an advance that will greatly increase the ...
