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 ...

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

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

Using advanced machine learning and climate models, researchers have shown that the ancestors of crops like wheat, barley, and rye probably were much less widespread in the Middle East 12,000 years ...

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 ...

Climate models provide reliable projections of many aspects of a warming planet over the next century and beyond due to human-caused climate change. Climate models are sets of mathematical equations ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...