David Rolnick: AI for Climate Change
10/29/21 • 62 min
Professor David Rolnick is an assistant professor at McGill, Canada CIFAR AI Chair, Mila researcher and a member of MIT Technology Review’s 35 Innovators Under 35. He joins the podcast to talk about how machine learning can be applied to tackling climate change, deep learning theory, AI in the public sector, ethics and advice for students.
Professor David Rolnick is an assistant professor at McGill, Canada CIFAR AI Chair, Mila researcher and a member of MIT Technology Review’s 35 Innovators Under 35. He joins the podcast to talk about how machine learning can be applied to tackling climate change, deep learning theory, AI in the public sector, ethics and advice for students.
Previous Episode
Introduction
Next Episode
Blake Richards: Parallels Between the Brain & AI
Professor Blake Richards is a leading researcher at the intersection of neuroscience and AI. He is an assistant professor at McGill, a Canada CIFAR AI Chair, and a core faculty member at Mila. His research explores the general principles of learning and memory in neural networks and tries to understand how real and artificial brains can optimise behaviour.
If you like this episode you’ll love
Episode Comments
Generate a badge
Get a badge for your website that links back to this episode
<a href="https://goodpods.com/podcasts/mcgill-ai-podcast-223191/david-rolnick-ai-for-climate-change-25430313"> <img src="https://storage.googleapis.com/goodpods-images-bucket/badges/generic-badge-1.svg" alt="listen to david rolnick: ai for climate change on goodpods" style="width: 225px" /> </a>
Copy