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AI helps identify unique lion roars, aiding conservation efforts.
Researchers at the University of Exeter used artificial intelligence to identify a previously unrecognized lion roar type—the full-throated roar—unique to individual lions, similar to a fingerprint.
This complex, loud vocalization, part of a sequence including moans and grunts, features distinct pitch patterns that AI detected more accurately than human experts.
The technology enables precise individual identification from audio recordings, improving population monitoring and conservation planning.
The study, published in Ecology and Evolution, highlights AI's role in uncovering hidden animal communication patterns, offering a powerful, non-invasive tool for protecting endangered lions and other species.
La IA ayuda a identificar rugidos únicos de leones, ayudando a los esfuerzos de conservación.