Rivers are one of the most dynamic components of the water cycle on Earth’s surface and play a significant role...
Seeking to explore the capabilities of neural networks for recognizing and predicting motion, a group of researchers led by Hehe...
Chemists and engineers find innovative ways to access water—including by pulling it out of thin air. Now, University of Chicago...
Turbulence plays an essential role in weather and climate, and correctly representing its effects in numerical models is crucial for...
Being able to withstand hurricane-force winds is the key to a long life for many buildings on the Eastern Seaboard...
Lawrence Livermore National Laboratory scientists have developed a theoretical model for more efficient molecular-level simulations of cell membranes and their...
Probabilistic machine learning methods are becoming increasingly powerful tools in data analysis, informing a range of critical decisions across disciplines...
Accurate and fast calculation of heat flow (heat transport) due to fluctuations and turbulence in plasmas is an important issue...
In the past decade, optical sensing tasks have become more demanding. As a result, it has become critical to build...
Researchers from the University of Geneva (UNIGE), the Geneva University Hospitals (HUG), and the National University of Singapore (NUS) have...
Engineers are harnessing artificial intelligence (AI) and wireless technology to unobtrusively monitor elderly people in their living spaces and provide...
By using machine learning and state-of-the-art supernova nucleosynthesis, a team of researchers have found the majority of observed second-generation stars...
