Some people always wonder about the fact that there are other creatures on other planets outside our galaxy, which turned out to be the only inhabited planet, especially after astronomers succeeded in exploring all the planets of the solar system.
However, astronomers tried to answer these questions using scientific methods, the most prominent of which was sending radio signals to certain places in space, and they waited for the response of those signals to monitoring stations on planet Earth.
Scientists revealed the discovery of eight mysterious radio signals thanks to a new algorithm trained on artificial intelligence, as researchers hope that this technology will simplify the search for the presence of aliens on other planets in galaxies adjacent to the Milky Way.
And international media reported that Peter Ma, a student at the University of Toronto, discovered the signals after using the algorithm to examine 820 stars in a region of space that was previously thought to be devoid of any potential extraterrestrial activity.
The temporary signals were missing in previous scans of the data, and Ma explains that part of the reason for this is that in many observations, there’s a lot of overlap. “We need to distinguish exciting radio signals in space from uninteresting radio signals coming from Earth,” he says. .”
Together with astronomers from the SETI Institute, the Breakthrough Listen Institute and scientific research institutions around the world, the researcher developed a new machine learning algorithm that can better pick out potential space signals from all the background noise on our planet.
Ma and his fellow project researchers have now detected up to eight different radio signals coming from it, which indicates that the eight signals originated from the direction of five of the group’s 820 stars, which range from 30 to 90 light-years away.
