How a teen's AI model could help stop poaching in rainforests
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How a teen's AI model could help stop poaching in rainforests
"Both species are under threat. But while African savanna elephants are endangered, forest elephants are critically endangered. They're also highly elusive. Living in dense tropical rainforests in central Africa and parts of West Africa they're very hard to find and study."
"Computer programs that use AI can help detect the crack of a gun. But accuracy is still a huge challenge when the forest is such a noisy place."
"a 17-year-old high schooler who built an AI model that can accurately pick out gunshots from other jungle sounds. What impact could this model make on gun-based poaching?"
Wildlife poaching threatens many species globally, particularly critically endangered African forest elephants in central African rainforests. Traditional monitoring methods using forest recorders to detect gunshots face significant accuracy challenges due to ambient jungle noise. Computer programs using artificial intelligence can help identify gunshots, but precision remains difficult in noisy forest environments. A breakthrough emerged when a high school student created an AI model capable of accurately distinguishing gunshots from other jungle sounds. This technological advancement could substantially improve poaching detection and prevention efforts, contributing to conservation of forest elephants and other vulnerable wildlife species.
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