To our planet from the depths of space continueReceive various radio signals. More than once, scientists have made attempts to decipher them and understand whether they have at least some sense. However, regular attempts to do this over and over again fail and there is no need to talk about any success. In addition, it would be interesting to know the source of these signals. Where they come from and how they form. And since people cannot do this, why not use artificial intelligence for these purposes? This is exactly what Australian scientists want to do.
Where do the radio signals come from in space?
Futurologists would say that their source isextraterrestrial civilizations, but the problem is that at the moment there is not a single evidence of this hypothesis. Typically, these radio signals are picked up several hundred light years after explosions or collisions of space objects. Or after flashes on red giants and similar stars.
One of the most famous at the momentThe signals that scientists were able to register are the famous WOW signal. The current technologies for observing and recording information have not been able to explain the nature of these phenomena.
How artificial intelligence can help you find radio signals
According to the editors of the publication Monthly Notices ofthe Royal Astronomical Society, a staff member at the Swinburne University of Technology in Melbourne, Australia, has developed a machine learning system that can recognize “fast radio bursts” (FRBs). These signals have complex, mysterious structures and are reproduced in just a fraction of a millisecond.
It is interesting: The 40-year-old riddle of a strange radio signal from space is solved
The AI system, controlling the Molonglo telescope, was able tonot only to determine fast radio bursts, but also to record their signatures in more detail for further analysis. Using AI, the researchers were able to detect from 59 to 157 such signals, which is much more than before.
Fast radio bursts are extremely interestingto study also for the reason that, in addition to their unusual device, they never repeat. That is, you can’t just “tune in” to one point and constantly “listen” to it. Previously, we used x-ray, optical, and other telescopes to get more information about these radio signals, but they often simply didn’t have time to go into recording mode and many signals were lost. Now, thanks to artificial intelligence, we can switch telescopes faster to recording mode, while recording a larger number of fast radio signals, and therefore, potentially, learn much more about them.
Despite the fact that there is a share in the words of scientistsof truth, I want to note that so far the term “artificial intelligence” is not some kind of smart machine, but just a set of programs for working with huge data arrays. These programs work on the basis of algorithms (sometimes very complex), but are not capable of what we call thinking. Therefore, in this case we have only a more advanced version for the analysis of incoming information and nothing more.
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