New study maps where wheat, barley and rye grew before the first farmers found them

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 ...
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Simpler models can outperform deep learning at climate prediction

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 ...

Keeping long-term climate simulations stable and accurate with a new AI approach

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

Capturing gravity waves: Scientists break 'decades of gridlock' in climate modeling

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

At the Intersection of Climate and AI, Machine Learning is Revolutionizing Climate Science

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 ...
EurekAlert!

NUS CDE researchers develop new AI approach that keeps long-term climate simulations stable and accurate

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

When to and when not to use machine learning in risk prediction models

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 ...