FORT WAYNE, Ind. (WFFT) — Researchers in the United Kingdom discovered 50 new planets using artificial intelligence.
The team of astronomers and computer scientists at the University of Warwick built a new machine learning algorithm.
They took the algorithm and dug through old NASA data to find new planets.
The machine combed through the findings of NASA's Kepler telescope and Transiting Exoplanet Survey Satellite (TESS).
An exoplanet is a planet that orbits a sun that is not ours.
The Kepler telescope surveyed our area of the Milky Way galaxy to discover habitable planets.
You can read more about the Kepler telescope's mission here.
The satellite is surveying over 200,000 of the brightest stars near the sun to search for the exoplanets.
It launched April 18, 2018.
You can find out more about its mission here.
The new planets range in size from bigger then Neptune to smaller than Earth.
The orbits range from as little as a day up to 200 days.
Researchers said that over 30 percent of the roughly four thousand known exoplanets were discovered by validation using one method.
The artificial intelligence filtered out the false positives in the planetary validation process.
The researchers published their findings in Monthly Notices of the Royal Astronomical Society.