July 3, 2017
What do astrophysicist Steven Hawking, Queen guitarist Brian May and the country of Luxembourg have in common? They’re all key figures in Asteroid Day – a UN sanctioned day of education to raise awareness about protecting our planet from dangerous impacts from space.
Asteroid Day is June 30th, the anniversary of the 1908 Tunguska impact, when a space rock, approximately 120 ft wide detonated in the sky, the largest impact in recent history. Asteroids and comets remain a threat to Earth.
To assist in NASA’s efforts to tackle the challenge of understanding space hazards and knowing what to do about them, the Frontier Development Lab (FDL) has brought together a team of expert researchers and invited them to apply artificial intelligence to develop techniques to help protect our planet from space threats such as asteroids, comets and solar storms.
FDL is an applied artificial intelligence research accelerator and public / private partnership between NASA Ames Research Center and the SETI Institute. The program tackles knowledge gaps in space science by pairing machine learning and deep learning expertise with planetary scientists and heliophysicists at the PhD level. Interdisciplinary teams address tightly defined problems and through rapid iteration and prototyping create outputs with meaningful application to the space program.
FDL features partnerships with Luxembourg Space Resources and technology leaders in artificial intelligence from the private sector and academia including IBM, Nvidia, Lockheed Martin, USC Mascale, Kx Systems, Miso Technologies and Intel. Partners bring advanced GPU hardware, software and cloud-based resources, and provide coaching and support on cutting edge approaches.
Entering its second year, FDL strives to create research outcomes that support NASA goals, while simultaneously showcasing cutting-edge partner capabilities in deep learning and other artificial intelligence techniques.
“Grand challenges like planetary defense require ingenious new approaches. We wanted to create a platform that industrializes breakthrough work useful to the space program and the task of protecting our planet” says FDL Director, James Parr.
To this end, exemplary PhD researchers from around the world are gathered at FDL to tackle planetary defense and space weather challenges such as (1) using machine vision and deep learning to locate and model the orbits of long-period comets (2) automate the translation of 2D sparse radar images of asteroids into accurate 3D models to help determine shape and spin (3) use massive data mining techniques to look for new, yet unidentified space weather relationships between our star and Earth (4) use machine intelligence to detect early warning indicators of detrimental solar storms. The FDL team is also (5) apply machine vision and other data fusion techniques to look for landing sites on the Moon for obtaining lunar water.
Explore further: Image: 3-D printed planetary models
3-D-printed scale models of asteroids and other planetary bodies are used for real-life testing of spacecraft navigation and landing systems martian moon Phobos seen in the foreground here.
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