NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
TechEdSat-13: The First Flight of an AI/ML Neuromorphic ProcessorNeuromorphic processors, inspired by the wiring of the brain, permit certain classes of Artificial Intelligence/Machine Learning (AI/ML) algorithms to run far more efficiently. Ultimately, such systems will make the small- and nano-satellite platforms even more useful in terms of greatly improved power, communication and internal data management. In addition, on-board processing of images and data will help to not only rapidly interpret the information, but also reduce the amount of data that needs to be transmitted to ground stations. This initial flight experiment uses the Intel/ Loihi processor combined with a custom interface board and three communication channels to run the AI/ML scripts. These will vary with increasing length and complexity during the course of the mission. The algorithms will use the (at first) limited sensor data to ‘learn’ - with comparisons to similar architecture in comparable ground experiments. Some of the applications for successor flights in the TES-n flight series include Cognitive Communications, whereby the overall communication system is optimized per overflight – by optimizing timing and data transmission functions. Lastly, the performance of the Loihi 14nm process technology will be monitored for performance in the LEO radiation environment, thus looking for induced hardware and software errors. This information will help guide future radiation protection techniques to extend the lifetime and overall utility. The TES-13 is a 3U nanosat successfully launched by the Virgin Orbit Launcher-1 on January 13, 2022, and will presage more flights and AI/ML applications to come.
Document ID
20210026935
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Marcus S Murbach
(Ames Research Center Mountain View, California, United States)
Date Acquired
January 14, 2022
Subject Category
Spacecraft Design, Testing And Performance
Meeting Information
Meeting: Cubesat Developers Workshop
Location: San Luis Obispo, California
Country: US
Start Date: April 26, 2022
End Date: April 28, 2022
Sponsors: California Polytechnic State University
Funding Number(s)
PROJECT: 981698.01.04.21.04
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Technical Review
Single Expert
Keywords
TechEdSat
artificial intelligence
neuromorphic

Available Downloads

There are no available downloads for this record.
No Preview Available