Climate Change AI

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. | SUBSCRIBE TO THE ROBOT BRAINS PODCAST TODAY | Visit therobotbrains.ai and follow us on YouTube TheRobotBrainsPodcast, Twitter @therobotbrains, and Instagram @therobotbrains. | 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.

David Rolnick

Postdoctoral Researcher

University of PennsylvaniaClimate Change AIMcGill University

A few months ago at the recent international conference on machine learning, a workshop and research paper launched a movement to use machine learning in addressing climate change. The response was huge and has given birth to the bones of an organization climate change.ai. This week I talked to David Rolnick, a postdoc at U Penn and Priya, Donti, a Phd student at Carnegie Mellon, about how the group came together and about how the organization is developing.

David Rolnick

Postdoctoral Researcher

University of PennsylvaniaClimate Change AIMcGill University

Priya Donti

PhD Student and Co-Founder

Climate Change AICarnegie Mellon University