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Space AI Google NASA Open Source

Google Open Sources Its Exoplanet-Hunting AI (vice.com) 16

dmoberhaus writes: Last December, NASA announced that two new exoplanets had been hiding in plain sight among data from the Kepler space telescope. These two new planets weren't discovered by a human, however. Instead, an exoplanet hunting neural network -- a type of machine learning algorithm loosely modeled after the human brain -- had discovered the planets by finding subtle patterns in the Kepler data that would've been nearly impossible for a human to see. Last Thursday, Christopher Shallue, the lead Google engineer behind the exoplanet AI, announced in a blog post that the company was making the algorithm open source. In other words, anyone can download the code and help hunt for exoplanets in Kepler data.
Google's research blog called the December discovery "a successful proof-of-concept for using machine learning to discover exoplanets, and more generally another example of using machine learning to make meaningful gains in a variety of scientific disciplines (e.g. healthcare, quantum chemistry, and fusion research)."
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Google Open Sources Its Exoplanet-Hunting AI

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