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The New Conservationists: AI is Making Meaning from the Sounds and Visuals of Wildlife (Part 2)
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A tartalmat a Scientific American biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Scientific American vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
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 was composed by Dominic Smith.
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