Eight signals from far-off stars probably aren't aliens, but the machine learning method that found them holds promise in the search for real extraterrestrials.
Using a new machine-learning algorithm, scientists have picked up eight extraterrestrial signals that seem to bear the hallmarks of technology.
"I am impressed by how well this approach has performed on the search for extraterrestrial intelligence," study co-author Cherry Ng , an astronomer at the University of Toronto, said in a statement ."With the help of artificial intelligence, I'm optimistic that we'll be able to better quantify the likelihood of the presence of extraterrestrial signals from other civilizations.
The researchers tested different algorithms to minimize false positives. They analyzed 150 terabytes of data from the Green Bank Telescope in West Virginia, covering observations of 820 stars near Earth. Then, they discovered eight previously overlooked signals from five stars located between 30 light-years and 90 light-years from Earth.
"First, they are present when we look at the star and absent when we look away — as opposed to local interference, which is generally always present," Steve Croft , project scientist for Breakthrough Listen at the Green Bank Telescope, said in the statement."Second, the signals change in frequency over time in a way that makes them appear far from the telescope.
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