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 ...

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 ...

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 ...

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 ...

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 ...

This special report introduces small area estimation as a modern approach for producing reliable, stand-level forest ...

For decades, soil management has relied on sparse field sampling and averaged recommendations. While effective in relatively uniform landscapes, this approach breaks down in real-world fields where ...

India ranks third globally in machine learning-driven scientific research, as per the ML Global Impact Report 2025. With its expanding network of universities, national laboratories, and startups, ...

Across the western U.S., wildfires and the dangerous smoke that results have increased in frequency and intensity since the ...