The weather and climate science AI revolution isn’t revolutionary

It feels like there’s no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a ...
Nature

Few shot learning for Korean winter temperature forecasts

To address the challenge of limited training samples, this study employs the model-agnostic meta-learning (MAML) algorithm along with domain-knowledge-based data augmentation to predict winter ...
Nature

Predicting the effects of temperature variability on nutritional status of children under five in Sub-Saharan Africa using machine learning

Rising temperatures due to climate change pose significant risks to the nutritional status of under-five children, particularly in Sub-Saharan Africa (SSA). This study investigates the influence of ...
Frontiers

Advancing Machine Learning for Space Weather Forecasting: Integrating Solar Observations, Geomagnetic Storm Prediction, and GNSS Ionospheric Forecasting

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

Ultra‑robust machine‑learning models run stable molecular simulations at extreme temperatures

Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular simulations for unprecedented lengths of time, even at temperatures as high as ...