Open Sourcing the Hunt for Exoplanets
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Open Sourcing the Hunt for Exoplanets
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Google's Open Source AI Lets Anyone Hunt for Alien Planets At Home
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.
On 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.
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Google Open-Sources AI Code To Analyze Kepler Data For Exoplanets
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You Can Hunt for Alien Planets in Kepler Data Using Newly Released Google Code
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Google AI That Helped NASA Find Exoplanets Now Available to All
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Find Alien Life and Discover New Exoplanets With Google's New Machine-Learning Algorithm
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Now, use Google AI to hunt planets from NASA data
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Want to join in NASA's search for exoplanets? Google's AI can help
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Google TensorFlow now available for researchers
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Google AI that helped NASA find exoplanets now open for all
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Google AI models which helped NASA discover exoplanets, are now available for everyone
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Researchers Now Have Access to the Same Google AI that NASA had
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Google AI Is Now Publically Accessible That Helped NASA Boost Its Hunt for Exoplanet
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