Australia developed artificial intelligence to decipher mysterious sound signals from the universe

Due to unpredictable human observation and technology methods to detect radio signals from the universe sent to Earth, Wael Farah at Swinburne University of Technology , Australia, has developed an artificial intelligence system that can train telescopes to handle these signals.

Every day, 59 to 157 sudden sound signals of radio waves can be detected from Earth from deep space - (Photo: NRAO)

According to livescience.com , the sudden sound signals of radio waves to Earth from deep space are still a mystery to scientists. Now, astronomers from Swinburne University, Australia, consider using special artificial intelligence to identify their origins.

Usually these signals are called fast radio bursts (FRBs) by scientists . FRBs come at random times and places, while human observation and technology methods are not predictable to detect these signals. The signals have complex patterns, mysterious structures and models of radio waves, reproduced in just a millisecond.

Current observation technologies cannot explain the nature of these phenomena. Now, Wael Farah, a researcher at Swinburne University of Technology, has developed an artificial intelligence system that can train telescopes to handle these signals. When a signal is detected, the telescope will switch to detailed recording mode, so that later it can analyze these phenomena.

Based on their data, the researchers note that 59 to 157 such signals can be detected daily. Scientists have used X-rays, optics and other radio telescopes to get more information about them, but have not been successful. However, their research shows that one of the most specific features of FRB is that the analog signals are not repeated twice. That's why studying these signals is a very difficult task for scientists and now Australian scientists have to resort to artificial intelligence.