

The Nature of AI: Solving the Planet's Data Gap with Drew Purves
Further reading: Natural forests of the world: paper, data and benchmarksForest loss drivers: paper, summary from WRI, and blog from GFWForest loss drivers code: Google Earth Engine; at WRI; at GFW; or Zenodo. Deep learning based remote sensing (open source): Jeo, GeeFlowSpecies mapping paper: ArxivGoogle resources:…
We score an episode from what we can actually measure — its reach and engagement, what listeners say about it, and what it covers. We don't have those signals for this one yet, so it doesn't get a number.
Buzzmeter says it's buzzing across platforms — the Hive Vote says whether the people who actually listened liked it.
Rate this episode
Add your vote to the Hive — listeners rate every episode after they finish.
- No reviews yet — be the first.
More from Google DeepMind: The Podcast
See all episodes →Similar episodes from other shows
More like Google DeepMind: The Podcast →
These AI devices protect nature in real time | Juan M. Lavista Ferres

Listening to the Living World: Can AI help us hear the planet?

The Future of AI in Sustainability

NASA and AI: Decoding Our Universe
One great episode in your inbox, daily — free.
One email a day, unsubscribe anytime. No spam, ever.

