NPR

Elephants Under Attack Have An Unlikely Ally: Artificial Intelligence

Conservationists are deploying audio recorders, neural networks and predictive analytics in a bid to save elephants from extinction.
Elephants approach a road at Liwonde. Reid says the park hasn't lost a single high-value animal in 30 months.

A few years ago, Paul Allen, the co-founder of Microsoft, published the results of something called the Great Elephant Census, which counted all the savanna elephants in Africa. What it found rocked the conservation world: In the seven years between 2007 and 2014, Africa's savanna elephant population decreased by about a third and was on track to disappear completely from some African countries in as few as 10 years.

To reverse that trend, researchers landed on a technology that is rewriting the rules for everything from our household appliances to our cars: artificial intelligence. AI's ability to find patterns in enormous volumes of information is demystifying not just elephant behavior but human behavior — specifically poacher behavior — too.

"AI can process huge amounts of information to tell us where the elephants are, how many there are," said Cornell University researcher Peter Wrege. "And ideally tell us what they are doing."

There are two kinds of elephants in Africa: savanna elephants, which were counted by Allen's census, and forest elephants, which the census couldn't account for because that elephant lives beneath a thick rainforest canopy. Even at the level of the jungle, Wrege says, losing a forest elephant is easy to do. "Sometimes you see them, let's say, 15 meters [16 yards] away from you and then they move 5 meters into the forest and you can't see them," he said. "Somehow they just disappear."

Researchers at Cornell University have been studying the forest elephant for years, trying to figure out — like Allen did with the savanna elephant — how many there are and how fast they are being killed. Given how stealthy the forest elephants are, Wrege for them.

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