Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...

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 ...

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

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

Deep learning is increasingly being used to emulate cloud and convection processes in climate models, offering a faster ...

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 ...

Forbes contributors publish independent expert analyses and insights. Heather Wishart-Smith is a board director who covers innovation. Artificial intelligence is transforming climate change prediction ...

Fifty years into the project of modeling Earth’s future climate, we still don’t really know what’s coming. Some places are warming with more ferocity than expected. Extreme events are taking ...

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