Advancing the future of space in the cloud
summary
Maxar runs a 100 petabyte imagery library in S3/Glacier, ingests data via AWS Ground Station into processing pipelines (DeepCore) that train and score AI models to extract roads/buildings and serve first responders; end-to-end imagery lands in an S3 bucket in under a minute. A weather forecast ported to AWS runs 58% faster than the NOAA supercomputer enabling more frequent updates; WorldView-3 sees through smoke, Worldview Legion adds many daily looks, and a Mars robotic arm and OSAM-1 refuel/assembly demos are operational goals.
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chapters (10)
- 0:00Start
- 2:08Aws Aerospace's Satellite Solutions Aws
- 13:23Benefit of Working in Aws
- 14:42Population Density
- 17:16When Do They Collect Their Data
- 19:31Robot Arm for Nasa Jpl's Mars Insight Lander
- 21:21The Lunar Gateway
- 21:56Electric Propulsion
- 26:20Takeaways
- 27:08Machine Learning and Artificial Intelligence
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