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, ...

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

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 ...

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 ...

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 ...

“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 ...

The climate economics index stress-tests reveal that climate change will impact 48 nations, encompassing 90% of the global economy, and evaluate their overall climate resilience Machine learning (ML) ...

At the end of 2023, health was formally included on the climate agenda for the first time at the 28th Conference of the Parties, or COP28. That focus continued this week, as the World Economic Forum ...