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2025-01-19 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > IT Information >
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Shulou(Shulou.com)11/24 Report--
Astronomers have found eight "suspicious" radio signals, which they say may be evidence of "technological life beyond Earth", CTOnews.com reported on February 21.
A team of experts led by Peter Ma, a student at the University of Toronto, developed a new artificial intelligence algorithm that helped them detect signals after observing 820 stars using the West Virginia Green Shore Telescope.
According to CTOnews.com, the artificial intelligence algorithm uses machine learning to distinguish between human-generated signals-such as signals from GPS satellites and mobile phones, and alien signals. Due to interference, these eight suspicious signals were not detected in past observations by the Green Shore Telescope.
"We need to distinguish between exciting radio signals in space and radio signals from Earth," Ma claimed in his paper, which was published in the journal Nature Astronomy late last month. Although the eight signals are not conclusive evidence of the existence of life outside Earth, they really cannot be explained, he said.
The researchers made this graph to show that most of the signals detected by our telescopes come from Earth, and these eight signals may come from other planets because they are "narrow-band". Human-generated signals tend to be "broadband". In addition, these signals have a "slope", which means that the source of the signal has some relative acceleration to our antenna, so it cannot come from the earth.
These results greatly illustrate the power of applying modern machine learning and computer vision methods to data analysis in astronomy, and their large-scale application will revolutionize the characteristic science of radio technology.
Peter Ma hopes to use artificial intelligence algorithms to check more stars and a larger range of space, and eventually hopes to expand the work, checking 1 million stars through the MeerKAT telescope in South Africa. He believes that this work will help speed up our response to the question "are we alone in the universe?"
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