Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...

Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in weather and climate, but a new study by MIT researchers shows that bigger ...

Using advanced machine learning and climate models, researchers have shown that the ancestors of crops like wheat, barley, ...

A Georgia Tech-led review paper recently published in Nature Reviews Physics is exploring the ways machine learning is revolutionizing the field of climate physics — and the role human scientists ...

Global climate models capture many of the processes that shape Earth's weather and climate. Based on physics, chemistry, ...

Hybrid climate modelling has emerged as an effective way to reduce the computational costs associated with cloud-resolving models while retaining ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...