David Rolnick on how machine learning can help tackle climate change

While the world’s temperature rises, there are scores of scientists working around the globe to study causes and solutions. One scientist in particular, David Rolnick, has stood out as a pioneer of machine-learning in the fight against climate change.

David successfully built a broader movement including others like Andrew Ng, Yoshua Bengio, Demis Hassabis, and Jennifer Chayes to champion the amazing possibilities that exist at the intersection of AI and the climate. He organized the first-ever ever AI event at the United Nations Climate Change Conference. He was named a top innovator by the MIT Technology Review -- all before the age of 30.

He sits down with Pieter to discuss his landmark paper on the applications of ML to climate change looking at use cases like weather simulations, ecological monitoring, and predicting natural resource depletion.

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| Host: Pieter Abbeel | Executive Producers: Alice Patel & Henry Tobias Jones | Audio Production: Kieron Matthew Banerji | Title Music: Alejandro Del Pozo Hosted on Acast. See acast.com/privacy for more information.