The Nature of AI: Solving the Planet's Data Gap with Drew Purves
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.
Google DeepMind: The Podcast · Drew Purves, Hannah Fry
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Show Notes
Further reading:
- Natural forests of the world: paper, data and benchmarks
- Forest loss drivers: paper, summary from WRI, and blog from GFW
- Forest loss drivers code: Google Earth Engine; at WRI; at GFW; or Zenodo.
- Deep learning based remote sensing (open source): Jeo, GeeFlow
- Species mapping paper: Arxiv
- Google resources: Google Earth Engine. Agri with Google, wildlife cameras
- Perch: code, paper
- Perch x coral reefs: Blog
- Agile Modelling: paper, code
- DolphinGemma: blog
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