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4min chapter
The New Conservationists: AI is Making Meaning from the Sounds and Visuals of Wildlife (Part 2)
Science Quickly
Revolutionizing Wildlife Conservation with Tech
This chapter explores the application of computer vision and machine learning in wildlife conservation, focusing on the identification and tracking of zebras through unique image identifiers. It follows an individual's transition from mathematics to ecological research, highlighting innovative algorithms that streamline the recognition of animal behaviors and enhance data collection.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode