- Aug 9, 2001
AI Built To Hunt Extraterrestrial Intelligence Just Detected 8 New Promising Signals
The algorithm, developed by Peter Xiangyuan Ma at the University of Toronto in Canada, and his team, was trained to analyze vast datasets from radio telescopes, specifically looking for signals that could not have a terrestrial origin.
The Search for Extraterrestrial Intelligence (SETI) project, which includes the Breakthrough Listen Initiative, has been combing through massive data sets, looking for signs of technologically advanced civilizations elsewhere in the galaxy. The challenge lies in filtering out the tens of millions of false positives found in these datasets. The machine learning algorithm developed by Xiangyuan Ma and his team has been trained to identify distinctive patterns in the data, making it easier to spot potential signals of interest.
These signals correspond to five stars located between 30 and 90 light-years from Earth. One of these stars, HIP 62207, is similar to our sun. However, the signals were not persistent in time, disappearing when the stars were reobserved. Despite this, the team encourages further observations of these targets.
This work represents the most comprehensive machine learning-based technosignature search to date.