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The American missile defense system, strategically placed all around the globe, has been the centerpiece of the “defensive” capabilities of Washington for years. The system relies on anti-aircraft missiles, supposed to shoot down incoming hostile projectiles. But the emergence of unconventional weaponry –namely the hypersonic missiles– has raised demand for new, equally unconventional defense systems.

Apart from hitting an incoming projectile with an intercepting one, the anti-missile research and development in the US revolved around two main ideas – using lasers and hitting hostile missiles with a kinetic device. The US military-industrial companies have been recycling the two concepts for years, fielding several prototypes that never entered full-scale production.

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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