Using AI to search for signs of alien life.
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In a recent study it was found that artificial intelligence is much more efficient than us in finding strange radio signals detected by radio telescopes, this means that if that long-awaited signal that affirms that there is intelligent life outside the earth appears in the sky, surely we can find it.
Assuming that Aliens are capable of transmitting radio signals, which would qualify them as intelligent extraterrestrial life, which if we stick to the definition 100 years ago when we started emitting radio signals we also used toothpaste with radioactive elements, so that intelligence is not guaranteed.
The great current problem of radio astronomy is to analyze enormous amounts of information from the observations and try to identify each signal found, with traditional methods they simply cannot cope, and that is where artificial intelligence comes in.
A machine learning or deep learning model was trained to analyze around 20,000 signals detected by the Green Bang radio telescope originating from 820 stars, the analysis was refined to filter out all but eight signals that are identical in their characteristics to the famous BLC1- signal. 1 detected in 2019, this helped confirm that it was an artificial or human-created phenomenon and not a radio signal from an extraterrestrial life form.
Souce Telescope Meerkat
This technology will again be used to analyze observations from the powerful new Meerkat telescope in South Africa, which is an array of 64 antennas acting as a single radio telescope.
Using a similar method it is expected to find many more strange signals which may help us to discover their terrestrial or extraterrestrial origins, it uses an algorithm to look for very specific patterns and it will be an incredible tool to analyze large amounts of information to discover all kinds of astronomical objects. , which would be very difficult to detect using traditional methods, the sky is literally the limit.
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