Five ways AI is saving wildlife - Deepstash
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Summary

  1. Stopping poachers: created 19km-long virtual fence with Forward-looking infrared (FLIR) thermal cameras
  2. Tracking water loss: used machine learning (ML) to process satellites images from 1985 to 2020 across the 8.5m sq km of Brazilian territory
  3. Finding whales: an ML model that could recognise humpback whale song
  4. 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
  5. Counting species: develop the Mbaza AI image classification algorithm for large-scale biodiversity monitoring

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Interesting ways of AI working in real world scenarios

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