Machine learning could aid in the search for signs of intelligent alien life in the universe, according to a study published.
this week details the use of an algorithm that helped researchers sift through data previously analyzed in 2017.
The machine learning tool was trained to differentiate radio signals that might originate in distant star systems from human-created sources like cell phones and satellites. The tool turned up eight new radio signals of interest — possible signs of intelligent extraterrestrial life — within the dataset. Those signals came from five different stars that areBrief follow-up observations didn't turn up a repeat signal, and it's still possible these eight targets of interest were created by chance, not emitted by alien civilizations.from the University of Toronto.
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Machine learning spots 8 potential technosignaturesRobert Lea is a science journalist in the U.K. whose articles have been published in Physics World, New Scientist, Astronomy Magazine, All About Space, Newsweek and ZME Science. He also writes about science communication for Elsevier and the European Journal of Physics. Rob holds a bachelor of science degree in physics and astronomy from the U.K.’s Open University. Follow him on Twitter sciencef1rst.
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