A new research paper takes a look at whether physics-informed machine learning could make FFF process predictions useful ...

Hurricanes, or tropical cyclones, can be devastating natural disasters, leveling entire cities and claiming hundreds or thousands of lives. A key aspect of their destructive potential is their ...

Blood pressure is a key metric of cardiovascular health, but standard methods for measuring it rely on occasional readings using inflatable cuffs, usually in a clinical setting. Today's blood pressure ...

Researchers employ machine learning to more accurately model the boundary layer wind field of tropical cyclones. Conventional approaches to storm forecasting involve large numerical simulations run on ...

Wind fields modeled by the authors’ physics-informed neural network (PINN) produces similar results to a Weather Research & Forecasting (WRF) simulation while using far fewer resources. WASHINGTON, ...