Space weather forecasting remains a major challenge in heliophysics, as geomagnetic storms continue to pose significant risks to satellite operations, power ...

Weather forecasting traditionally relies on numerical weather prediction (NWP) systems that integrate global observations, data assimilation (DA), and physics-based models. However, further advances ...

The intensifying climate crisis poses a severe threat to ecosystems and human well-being, particularly to ageing populations 1,2,3. Stroke is a major contributor to the global burden of cardiovascular ...

Ph.D. student Phillip Si and Assistant Professor Peng Chen developed Latent-EnSF, a technique that improves how ML models assimilate data to make predictions.

AndroGuider is a blog where you can scoop your daily need of tech information with some dose of special reviews and custom ...

A new open-source machine learning system cuts flash food forecasting time to just 15 minutes. The tool automates complex ...

Meteorologists and other environmental scientists rely on numerical forecast models to aid in developing a weather outlook. These models, such as the American GFS model and European ECMWF model, use ...

When supply chain practitioners think about forecasting, they focus on demand forecasting. Demand forecasting is essential, but the number of different forecasts that an effective organization should ...