AI Identified Vultures' Behaviors

This is a news story, published by ScienceDaily, that relates primarily to the Leibniz Institute for Zoo and Wildlife Research news.

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wildlife research

ScienceDaily

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Vultures and artificial intelligence(s) as death detectors: High-tech approach for wildlife research and conservation

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GAIA Initiative developed an artificial intelligence ( AI ) algorithm that classifies behaviours of white-backed vultures using animal tag data.

Vultures are perfectly adapted by millions of years of evolution to detect carcasses across vast landscapes quickly and reliably.

They have outstanding eye-vision and sophisticated communication that allows them to monitor very large areas of land when many individuals work together.

The new algorithms were developed by the Leibniz Institute for Zoo and Wildlife Research in cooperation with the Fraunhofer Institute for Integrated Circuits .

AI-based analyses are implemented directly on tags fitted by the Leibniz Institute for Zoo and Wildlife Research ( IZW ) The new system will provide reliable information on whether and where an animal carcass is located without prior data transfer in real time without any loss of time.

GAIA has so far fitted more than 130 vultures in different parts of Africa with tags.

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