The research paper, on which he is the only student author, won the Best Paper Award, the highest honor given at the world’s ...
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 ...
Understanding public support for climate policies is essential in shaping effective strategies to reduce climate change effects. However, predicting policy support has long been challenging because ...
Modern agriculture is a data-rich but decision-constrained domain, where traditional methods struggle to keep pace with ...
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Wheat is becoming more climate-resilient through nature-based plant breeding and machine learning
Nitrogen fertilizers used in agriculture contribute significantly to global warming. A new breeding concept, specifically for wheat, could help reduce nitrogen fertilization. This holobiont principle ...
The IMF study shows that satellite data such as nighttime lights, air pollution, and vegetation health, when combined with ...
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 ...
Artificial intelligence is emerging as a powerful tool against fossil fuel disinformation, exposing methane leaks, ...
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