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How machine learning helps scientists track asteroids

You never know how far your #SpaceApps solution will go! Gema knows that first hand. Hear about her project Deep Asteroid, which was a 2016 finalist, and how she used NASA data and the open-source tool Tensor Flow.


When NASA issued a worldwide challenge to help them better track the asteroids and comets that surround Earth, Gema Parreño answered the call. She used #TensorFlow, Google’s machine learning tool, to create a program called Deep Asteroid, which helps identify and track Near Earth Objects.

Special thanks to the Royal Observatory of Madrid. Learn more about them here: https://www.esmadrid.com/en/tourist-information/real-observa…gle.com%2F

Watch the next video in the series here: https://youtu.be/watch?v=kBxb-bIJPtw

NASA spacecraft meets with asteroid today

Over the next year, OSIRIS-REx will survey the asteroid using five scientific instruments on board the spacecraft. These instruments will help it determine a safe location from which to collect a small sample from Bennu’s surface that will be returned to Earth in September 2023.

“Bennu’s low gravity provides a unique challenge for the mission,” said Rich Burns, OSIRIS-REx project manager at NASA’s Goddard Space Flight Center. “At roughly 0.3 mile in diameter, Bennu will be the smallest object that any spacecraft has ever orbited.”