Alien signals detected from dwarf galaxy 3bn light years away

Representational Image
Representational Image

New Delhi : Alien life sounds interesting and scientists keep on searching for clues of extraterrestrial life, somewhere in the galaxy. Good news is that, lately, they have spotted 72 mysterious signals from an alien galaxy using artificial intelligence (AI). It is believed that the Aliens have given signal of their existence from galaxy 3bn light years away from the Earth.

The researchers at the SETI (Search for Extraterrestrial Intelligence) Institute discovered the unusual signals when examining 400 terabytes of radio data from a dwarf galaxy three billion light years away from Earth.

Experts have utilized almost artificial intelligence technology including automating data analysis, combing through huge data sets to identify patterns or unusual occurrences.

The alien signals spotted are fast radio bursts (FRBs), bright and quick pulses which were first discovered in 2007 and are believed to come from distant galaxies

"The nature of the object emitting them is unknown," SETI said, adding: "There are many theories, including that they could be the signatures of technology developed by extraterrestrial intelligent life."

Earlier in 2017, scientists at Harvard University suggested that FRBs could result from energy leaks from powerful transmitters built by alien civilisations in order to send giant light sail ships on interstellar voyages.

The FRBs were detected in data collected by the Green Bank Telescope, part of the US Radio Quiet Zone, where wireless communications signals are banned to prevent interference with the telescopes.

Gerry Zhang, a PhD student at Berkeley, developed the machine-learning algorithm used to examine the 400tb of data, in which another researcher had already identified 21 FRBs.

"Gerry's work is exciting not just because it helps us understand the dynamic behavior of FRBs in more detail," said SETI's Dr Andrew Siemion, "but also because of the promise it shows for using machine learning to detect signals missed by classical algorithms."

Dr Siemion added, "These new techniques are already improving our sensitivity to signals from extraterrestrial technologies."

The findings of the research have been accepted for publication in the Astrophysical Journal.