For the first decade already, scientists are trying to identify at least one signal sent by representatives of other civilizations. The difficulty lies in the high level of noise, which almost completely clogs signals from space. And then artificial intelligence came to the aid of scientists.
In a new study, the results of which are published in The Astrophysical Journal, the researchers describe how they used intercepted signals with a source a billion light-years away for training the neural network. After that, with the help of artificial intelligence, they singled out a few dozen signals from the information collected earlier.
The signals were conventionally called “fast radio bursts” – FRB (fast radio bursts). Another one of their names is “space whistle”. They are powerful short impulses of energy that reach us from the depths of the cosmos. Scientists still do not know their nature. According to some hypotheses, the source of the signals is magnetized neutron stars and black holes. It is also possible that this was not without our distant space brothers in the mind.
FRB are so short-lived that it is almost impossible to fix them manually, so it made sense to connect AI to this process.
The first thing that researchers at the University of California at Berkeley (USA) did was to create their own algorithm for detecting FRB. Then they used this algorithm for analysis in the analysis of previously received signals, as a result of which the AI identified 72 new FRBs. A total of about 300 signals have already been detected.js.src = “&version=v2.8”; 'script', 'facebook-jssdk'));