John interviews Priya Donti, a Ph.D. student in computer science at Carnegie Mellon University. She is also the co-founder and chair of Climate Change A.I., an organization working at the intersection of climate science and machine learning.
Priya’s goal is to use machine learning to analyze, slow, and adapt to climate change. This could include optimizing pollutive supply chains, improving climate models, and helping researchers create next-generation batteries.
John and Priya talk about these applications; machine learning’s relevance for insurance companies; and why A.I. isn’t a silver bullet for this era’s most prominent environmental challenge.
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