Google Open Source Blog: Open Sourcing the Hunt for Exoplanets

Google Open Source Blog: Open Sourcing the Hunt for Exoplanets. “Recently, we discovered two exoplanets by training a neural network to analyze data from NASA’s Kepler space telescope and accurately identify the most promising planet signals. And while this was only an initial analysis of ~700 stars, we consider this 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). Today, we’re excited to release our code for processing the Kepler data, training our neural network model, and making predictions about new candidate signals.”