NASA
However, according to Space.com, it is already known that Google will play a role in this.Because the discovery that you can imagine has become possible with the help of machine learning and Google. NASA explained in a communication that this AI discipline enabled much more efficient analysis of space telescope data.
The telescope is able to capture a lot of data, but you have to use computers for its processing. Because the “planet hunter” Kepler detects small deviations in the brightness, which can not be seen with the naked eye.Because the data, which the NASA researchers study until today, are for the most part already older and were registered between 2009 and 2013.
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The first mission of Kepler was to “stare” continuously at around 150,000 stars. This ended in May 2013, because at that time a component for stabilization was lost. The problem could be solved later, the Space Telescope has since been on a second mission called “K2”. Again, the search for exoplanets in the foreground, but the scope is slightly lower, especially because Kepler now has other tasks to do.
