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Tricky alien worlds easier to find when humans and machines team up

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Tricky alien worlds easier to find when humans and machines team up

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Many of our imagined sci-fi futures pit humans and machines against each other — but what if they collaborated instead? This may, in fact, be the future of astronomy. 

As data sets grow larger and larger, they become more difficult for small teams of researchers to analyze. Scientists often turn to complex machine-learning algorithms, but these can’t yet replace human intuition and our brains’ superb pattern-recognition skills. However, a combination of the two could be a perfect team. Astronomers recently tested a machine-learning algorithm that used information from citizen-scientist volunteers to identify exoplanets in data from NASA’s Transiting Exoplanet Survey Satellite (TESS). 



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