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deepmind.google·6d ago
AI Engineering
DeepMind Blog·Nov 5·5 min read
Mapping, modeling, and understanding nature with AI
TL;DR
Ecosystems are under threat from increasing land and resource demands, leading to biodiversity loss. DeepMind has developed AI models to predict deforestation risks, map species ranges, and enhance bioacoustic monitoring with the Perch model.
✦ Why It Matters
Engineers and researchers can utilize AI to enhance ecological monitoring and conservation strategies effectively.
Key Takeaways
- Utilize AI models for accurate deforestation predictions.
- Leverage species range maps for targeted conservation efforts.
- Implement bioacoustic monitoring to track wildlife health.
- Integrate diverse data sources for comprehensive ecosystem analysis.
How It Works
The deforestation prediction model uses satellite imagery and vision transformers to analyze forest loss drivers, achieving high-resolution predictions down to 30 meters. The GNN model combines open species databases with satellite embeddings to infer species distributions, allowing for scalable mapping across various regions.