Artificial Intelligence Helps to Track Cosmic Sound

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Using machine learning scientists have discovered 72 new fast radio bursts from unknown source placed at 3 billion light years away from our planet.

Researchers at Breakthrough Listen used artificial intelligence (AI) to record fast radio bursts thought to originate from distant galaxies. This research was part of a SETI project, which was led by the University of California, Berkeley.

There are various theories associated with the origin of fast radio bursts, which are glowing pulses of radio emission of a few milliseconds duration. The researchers are still unable to track the origin of the source of these radio bursts, however they have recorded 72 bursts, which have consistent properties and the technology hints that it is developed by an advanced idea.

Andrew Siemion, director of the Berkeley SETI Research Center and principal investigator for Breakthrough Listen, said, “this work is exciting not just because it helps us understand the dynamic behavior of fast radio bursts in more detail, but also because of the promise it shows for using machine learning to detect signals missed by classical algorithms to find signs of intelligent life in the universe.”

The unique behavior of these radio bursts is that it emits repeated bursts, which has attracted astronomers from around the world to study the causes and the extreme physics involved in fast radio bursts. The bursts were recorded over a period of five-hour on August 26, 2017, by the Green Bank Telescope in West Virginia. The researchers used AI algorithms to detect the signals.

The breakthrough in capturing this radio bursts will help scientists in understanding and figuring out the powers of these enigmatic sources and the extraterrestrial feature of the universe.

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