Sierra Space Uses Neural Networks To Predict Space Junk Trajectories

Sierra Space finds junk

Physics-informed neural networks are faster and more accurate at predicting space junk trajectories than conventional methods, says Sierra Space.

Credit: Alamy Stock Photo
Sierra Space says it can predict—with higher accuracy than conventional methods—the locations of space debris, using “physics-informed neural networks” running on Nvidia graphics processing units (GPUs). The physics-informed neural-networks project was a collaboration with Nvidia, Sierra Space said...
Garrett Reim

Based in the Seattle area, Garrett covers the space sector and advanced technologies that are shaping the future of aerospace and defense, including space startups, advanced air mobility and artificial intelligence.

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