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.

If you ask ChatGPT, the text-generating artificial intelligence in the news recently, to write a limerick about artificial intelligence (AI) and climate change, you'll get something like: You'll be ...

In recent years, machine learning has revolutionized the study of glacier erosion rates, providing valuable insights into environmental planning. As glaciers continue to retreat due to climate change, ...

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

In this module, we delve into the concept of clustering, a fundamental technique in data analysis and machine learning. Clustering involves grouping a set of objects in such a way that objects in the ...

“How do we monitor all our carbon and electricity use around the globe? What systems must we put in place to get a handle on that?” asked Robert Bernard, who’d been at Microsoft for about a decade ...

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 ...

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 ...

Throughout the middle of the 20th century, phosphorus inputs from detergents and fertilizers degraded the water quality of Switzerland’s Lake Geneva, spurring officials to take action to remediate ...