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

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, ...

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 ...

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