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

CAMBRIDGE, MA -- 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 ...

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 ...

Machine learning (ML) is a type of Artificial Intelligence and is transforming how we develop our science at the Met Office. In weather and climate prediction, it will open up new ...

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

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 ...

While sustainability is frequently mentioned in policy discourse and regulatory frameworks, the study finds that it remains weakly embedded in the core of AI and machine learning research in banking.

Overview AI in soil health analysis enables faster, more accurate assessment of soil conditions using data from sensors, ...