AI Podcast: How Deep Learning Will Reshape Our Cities

by Brian Caulfield

Deep learning promises to do more than just reshape city streets, thanks to autonomous vehicles.

It can help put expensive infrastructure where it’s needed most. It can automate the generation of zoning laws that ensure more liveable, walkable cities. And it poses new challenges, too.

In Episode 5 of our AI Podcast, we spoke to two leading advocates for smarter, more liveable cities — Lynn Richards, head of the Congress for New Urbanism, and Charles Marohn, head of Strong Towns — to learn more about what AI will mean for the places where we live and work.

These technologies will soon make it possible for AI to design more and more of our cities, and then simulate them in VR.

“You can have artificial intelligence that can read an entire city’s zoning code and building ordinances and design a block that is perfectly legal,” says Richards, in conversation with host Michael Copeland. “You can look through augmented and virtual reality design what a new streetscape will be — including the buildings on the side, how wide the streets are, the cars — and enter that street through virtual reality.”

Notwithstanding its “artificial” nature, AI could, paradoxically, help make cities more human.

“Where AI can help us is actually looking at the way people live, because the way people live is very divorced from the process,” Marohn says. “We can go around our cities right now and see lots of places where people are walking and there are no sidewalks, and there’s like a goat path through the ditch.”

To hear the whole conversation, tune into this week’s AI Podcast.

And if you missed Episode 4 of the AI Podcast, it’s definitely worth a listen: NVIDIA’s Danny Shapiro talks about where deep learning will take driving next.

Subscribe to NVIDIA’s AI Podcast on iTunes or Google Play Music.

Image Credit: Billy Woodford, via Flickr