Five ways AI is saving wildlife
Curated from: static.guim.co.uk
Ideas, facts & insights covering these topics:
1 idea
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Summary
- Stopping poachers: created 19km-long virtual fence with Forward-looking infrared (FLIR) thermal cameras
- Tracking water loss: used machine learning (ML) to process satellites images from 1985 to 2020 across the 8.5m sq km of Brazilian territory
- Finding whales: an ML model that could recognise humpback whale song
- Protecting koalas: using drones and infrared imaging, an AI algorithm rapidly analyses infrared footage and determines whether a heat signature is a koala or another animal
- Counting species: develop the Mbaza AI image classification algorithm for large-scale biodiversity monitoring
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CURATOR'S NOTE
Interesting ways of AI working in real world scenarios
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