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🔗 Source: amostech.com
📊 Size: 2.65 MB
📄 Pages: 20 pages
⬇️ Downloads: 106

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Onboard Artificial Intelligence for Space Situational Awareness with Low-Power GPUs: MDA Systems is investigating the use of low-power GPUs for deploying AI applications for real-time object identification in space. The focus is on object classification using Deep Neural Networks (DNNs) and benchmarking their performance with added noise in input images. Three simple neural networks of different sizes were trained on the MDA Sapphire dataset, showing that larger models are more robust to noise. Computing optimization techniques were applied, resulting in significant improvements in throughput and power efficiency. The goal is to enable real-time processing and response for Space Situational Awareness (SSA) applications, which is critical due to the increasing number of satellites and debris in orbit.

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Onboard Artificial Intelligence for Space Situational Awareness with Low-Power GPUs: MDA Systems is investigating the use of low-power GPUs for deploying AI...

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  • File Format: PDF
  • File Size: 2.65 MB
  • Pages: 20
  • Language: EN
  • Total Downloads: 106
  • Last Updated: 3 weeks ago

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