The Nature of AI: Solving the Planet's Data Gap with Drew Purves

from Google DeepMind: The Podcast · host Drew Purves, Hannah Fry

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: Google Earth Engine. Agri with Google, wildlife camerasPerch: code, paperPerch x coral reefs: BlogAgile Modelling: paper, codeDolphinGemma: blog Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation!   Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

What this episode covers

Could we use the sound of a coral reef to determine its health? Do we know where all the world's natural forests are? And are we on the verge of using AI to decode animal communication? In this episode, Professor Hannah Fry is joined by Drew Purves, Nature Lead at Google DeepMind. They explore how AI is helping ecologists map forests and species for the first time in history and how this data can be used to better understand the root causes of deforestation. They also explore bioaoustics and how sound is playing a pivotal role in tracking species on land and underwater —providing a powerful new way for us to understand and protect the environment.

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The Nature of AI: Solving the Planet's Data Gap with Drew Purves

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This episode was published on June 19, 2025.

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