Researchers Use Artificial Intelligence To Study Elephant Calls

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Which is a problem If you study them, we basically have no idea what they're doing, how they're using the landscape all of those kinds of things. Peter Rag is the behavioral Ecologist at Cornell University. And he says one way to solve the problem is to eavesdrop on the elephants instead. Leads Cornell's elephants were listening project, which uses an array of microphones in the rainforests of Central Africa to record the rumbling and trumpeting of elephants. They pick up other sounds too, like the chest beats of guerillas. By now, he estimates they have gathered a 1,000,000 hours of tape. And he says, analyzing that much tape is a beast. Very, very slow, very tedious. Jonathan Jones, Selman agrees. He volunteered on the project as a teenager, hand picking elephant calls. He thought there had to be a better way. So he and fellow Stanford grad Nikita Demir trained artificial intelligence to do the job. Instead, Here's Gom Selman, we feed these models, hundreds of examples of both audio clips with and without elephant calls, and then these deep learning models of basically the overtime. Able TTO learn specific features that the people training these models don't fully know ourselves. They'll present the model next week at a virtual meeting of the Ecological Society of America. Other Wreg hasn't yet tried the new algorithm. He says. It seems faster and more accurate than earlier. Aye, aye attempts, which gives him and other scientists a better chance to decode the mysteries of elephants rumbles. This is their language. If we can start understanding that better, we know Maur. What's going on in the forest where we can't see anything because to keep an eye on the forest you got to keep in here.

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