The New Conservationists: AI is Making Meaning from the Sounds and Visuals of Wildlife (Part 2)

Ashleigh Papp, an animal scientist turned storyteller, takes us on
into the field. Conservationists and animal behaviorists were once
restricted to wildlife data gathered manually. Now new technologies
are expanding the amount of passively collected data—and machine
learning is helping researchers cut through the noise. This is part
two of The New Conservationists, a four-part series about the
evolving world of animal conservation. Recommended reading: –
Flying Conservationists Teach Endangered Birds to Migrate – The
Last Wild Horses Are Finally Returning to Their Natural Habitat –
Great Nicobar Island Is a Paradise in Danger E-mail us at
sciencequickly@sciam.com if you have any questions, comments or
ideas for stories we should cover! Discover something new every
day: subscribe to Scientific American and sign up for Today in
Science, our daily newsletter. Science Quickly is produced by
Rachel Feltman, Fonda Mwangi, Kelso Harper, Madison Goldberg and
Jeff DelViscio. This episode was hosted by Rachel Feltman with
co-host Ashleigh Papp. Our show is edited by Madison Goldberg with
fact-checking by Shayna Posses and Aaron Shattuck. The theme music
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