Networks are systems comprised of two or more connected devices, biological organisms or other components, which typically share information with each other. Understanding how information moves between these connected components, ...
Researchers from the Xinjiang Astronomical Observatory of the Chinese Academy of Sciences have developed a hybrid deep learning model that can accurately predict atmospheric delay, a key source of error in astronomical observations ...
Quantum information systems, systems that process, store or transmit information leveraging quantum mechanical effects, could, in principle, outperform classical systems in some optimization, computational, sensing, and learning ...
A new method for predicting how rainfall contributes to river flow across the entire US has been developed by an international team of scientists.
A pair of Sydney Ph.D. students helped sharpen the view of humanity's most powerful space observatory—without leaving Earth. As an indelible reminder of this thrilling result, Louis Desdoigts, now a postdoctoral researcher ...
Lack of incentives and low adoption of metadata standards are limiting AI's potential for bioimage analysis—a community initiative proposes solutions.
When animals move together in flocks, herds, or schools, neural dynamics in their brain become synchronized through shared ways of representing space, a new study by researchers from the University of Konstanz (Germany) suggests. ...
One of the key steps in developing new materials is property identification, which has long relied on massive amounts of experimental data and expensive equipment, limiting research efficiency. A KAIST research team has introduced ...
Total solar eclipses only happen in the same spot once every 300 or 400 years, so it's no surprise that a team of researchers at Indiana University recently jumped on the opportunity to use this natural experiment to better ...
Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, progress in the forecasting ...
