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David Rolnick explores opportunities and challenges in machine learning for climate action, from designing new electrocatalysts to monitoring biodiversity.
Amy Braverman will consider the role of AI in addressing climate change through the lens of the most comprehensive data resource for understanding climatic change: satellite data.
Explore what is known about AI’s carbon footprint—and what technical and policy options might be available to reduce it.
How can we increase production as we simultaneously reduce emissions?