Researchers have devised a new machine learning method to improve large-scale climate model projections and demonstrated that the new tool makes the models more accurate at both the global and ...

Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

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 ...

That challenge is examined in the study Towards Eco-Friendly Cybersecurity: Machine Learning-Based Anomaly Detection with ...

Modern agriculture is a data-rich but decision-constrained domain, where traditional methods struggle to keep pace with ...

Researchers at the U.S. Department of Energy’s (DOE’s) National Renewable Energy Laboratory (NREL) have developed a novel machine learning approach to quickly enhance the resolution of wind velocity ...

CERES program updates include operational satellite instruments, algorithm advancements, machine learning applications, and ongoing missions measuring Earth’s energy budget and climate system changes.

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...

Artificial intelligence is emerging as a powerful tool against fossil fuel disinformation, exposing methane leaks, ...