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Google’s Machine Learning Is Analyzing Data From NASA’s Kepler Space Telescope

Posted on December 12, 2017

NASA will host a media teleconference at 1 p.m. EST Thursday, Dec. 14, to announce the latest discovery made by its planet-hunting Kepler space telescope. The discovery was made by researchers using machine learning from Google.

Machine learning is an approach to artificial intelligence, and demonstrates new ways of analyzing Kepler data.

When Kepler launched in March 2009, scientists didn’t know how common planets were beyond our solar system.

Thanks to Kepler’s treasure trove of discoveries, astronomers now believe there may be at least one planet orbiting every star in the sky.

Kepler completed its prime mission in 2012 and went on to collect data for an additional year in an extended mission.

In 2014, the spacecraft began a new extended mission called K2, which continues the search for planets outside our solar system, known as exoplanets, while introducing new research opportunities to study young stars, supernovae and other cosmic phenomena.

The briefing participants are:

  • Paul Hertz, Astrophysics Division director at NASA Headquarters in Washington
  • Christopher Shallue, senior software engineer at Google AI in Mountain View, California
  • Andrew Vanderburg, astronomer and NASA Sagan Postdoctoral Fellow at The University of Texas, Austin
  • Jessie Dotson, Kepler project scientist at NASA’s Ames Research Center in California’s Silicon Valley

News Source: https://www.nasa.gov/press-release/nasa-hosts-media-teleconference-to-announce-latest-kepler-discovery

Teleconference audio and visuals will stream live at: https://www.nasa.gov/live/

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