Various radio signals continue to come from the depths of space on our planet. Scientists have more than once tried to decipher them and to understand if they at least have a meaning. However, regular attempts to do so over and over again fail, and there is no reason to talk about success. It would also be interesting to know the source of these signals. Where they come from and how they form. And since humans can not, why not use artificial intelligence for these purposes? That is exactly what Australian scientists want to do.
Where do the radio signals come from in space?
Futurologists would say that their source is extraterrestrial civilizations, but the problem is that for the moment there is no single evidence for this hypothesis. Typically, these radio signals are received several hundred light-years after explosions or collisions of space objects. Or after flashing on red giants and similar stars.
One of the most famous signals that scientists have been able to register is the famous WOW signal. The current technologies for observing and recording information could not explain the nature of these phenomena.
How artificial intelligence can help you find radio signals
According to the Royal Astronomical Society's Monthly Notices, one of the Swinburne University of Technology's staff in Melbourne, Australia, has developed a machine learning system that can detect "fast bursts of radioactivity" (FRB). These signals have complex, mysterious structures and are reproduced in fractions of milliseconds.
It's interesting: The 40-year puzzle of a strange radio signal from space is solved
The AI system that controlled the Molonglo telescope was not only able to detect high-speed radio bursts, but also to record their signatures in more detail for further analysis. With AI, the researchers were able to detect 59 to 157 such signals, which is far more than before.
Fast radio bursts are also extremely interesting to study because they never repeat in addition to their unusual device. That means you can not just "turn on" one point and "listen" to it all the time. Previously, we used X-ray, optical and other telescopes to get more information about these wireless signals. Often, however, they did not have time to switch to capture mode, and many signals were lost. Thanks to artificial intelligence, we can now put telescopes into shooting mode faster, while recording a larger number of fast radio signals, and therefore may learn much more about them.
Despite the fact that the words of the scientists contain a certain truth, I would like to point out that the term "artificial intelligence" so far is not an intelligent machine, but only a set of programs for working with huge data fields. These programs work on the basis of algorithms (sometimes very complex), but are unable to do what we call thinking. So in this case, we just have an advanced version for analyzing incoming information, and nothing more.
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