An artificial intelligence algorithm has discovered 50 new potential planets that were missed by humans.

It analysed data from telescope missions such as Nasa’s Kepler and TESS (Transiting Exoplanet Survey Satellite), which looks for signs of distant planets.

As well as being trained to recognise real planets, the algorithm could also detect false positives.

Once that was done, researchers from Warwick’s Departments of Physics and Computer Science, ran the algorithm against unconfirmed potential planets from Kepler data, finding the new worlds.

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