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 ...

Tamil Nadu has deployed AI tools to mitigate human-animal conflicts, notably reducing wild elephant incidents. The state also ...

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 ...

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

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 ...

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

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) ...

Toffel, Michael W., Kelsey Carter, Amy Chambers, Avery Park, and Susan Pinckney. "Mitigating Climate Change with Machine Learning." Harvard Business School Background Note 625-014, August 2024.