A research team from the University of Georgia has identified signs of a previously unidentified planet outside of our solar system using artificial intelligence technologies.
The team recently showed that machine learning can accurately predict the presence of an exoplanet by scanning protoplanetary discs, the gas surrounding newly formed stars.
The recently published findings represent a first step in using machine learning to find previously undetected exoplanets.
“We confirmed the planet using traditional techniques,” said Jason Terry, a doctoral student in the UGA Franklin College of Arts and Sciences Department of Physics and Astronomy and the study’s lead author. “But our models directed us to run those simulations and showed us exactly where the planet might be.”
The study shows how artificial intelligence can be used as a tool to increase the accuracy of researchers and make better use of their time while working on a project as big as looking into deep space.
The models were able to identify a signal in previously examined data; they found something that wasn’t there before.
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