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Artificial intelligence helps SETI sleuths find more radio bursts from mystery source

11 Sep 2018, 01:30 UTC
Artificial intelligence helps SETI sleuths find more radio bursts from mystery source Danielle Futselaar

Researchers at Breakthrough Listen, a multimillion-dollar campaign to seek out signals from alien civilizations, still don’t know exactly what’s causing repeated bursts of radio waves from an distant galaxy — but thanks to artificial intelligence, they’re keeping closer tabs on the source, whatever it turns out to be.

A team led by Gerry Zhang, a graduate student at the University of California at Berkeley, developed a new type of machine-learning algorithm to comb through data collected a year ago during an observing campaign that used the Green Bank Telescope in West Virginia.

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