Cool Worlds
Cool Worlds
@coolworldslab·1.1M subscribers·267 videos

A Machine That Can Predict Exoplanets

Posted

November 16, 2016

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3,134

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Exciting new research from the Cool Worlds Lab has delved into the use of machine learning and artificial neural networks for astronomy. In new work from David Kipping & Chris Lam here at Columbia, we've shown how a machine can predict the presence of extra planets in known planetary systems using just a few pieces of information about the system. Chris Lam gives a neural network 101 and explains our implementation works.

::More about this Video::

► Kipping & Lam 2016, "Transit ClairvoyanceEnhancing TESS followup using artificial neural networks"

► Tamayo et al. (2016), "A Machine Learns to Predict the Stability of Tightly Packed Planetary Systems"

► Graff et al. (2013), "SKYNETan efficient and robust neural network training tool for machine learning in astronomy"

► Waldmann (2016), "Dreaming of atmospheres"

► Outro music by Taylor Davis

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Guests & Subjects Covered

Cool Worlds LabDavid KippingChris LamTransit Clairvoyance Enhancing TESSA Machine LearnsTightly Packed Planetary SystemsCool Worlds ResearchGuest Videos

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