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BRAINSTACK – A Platform for Artificial Intelligence & Machine Learning Collaborative Experiments on a Nano-Satellite As space missions continue to become more ambitious, complex, and distant to Earth, the need for advanced on-board intelligent decision making to guide everything from mission operations to fault detection and recovery has become a major front of space research. While the prevalence of research on such Artificial Intelligence / Machine Learning (AI/ML) modules has exploded, the capacity to experimentally validate such modules in space in a rapid and inexpensive format has not. To this end, the Nano Orbital Workshop (NOW) group at NASA Ames Research Center has been at the forefront of performing initial flight evaluation tests of ‘commercially’ available AI/ML computational platforms via the TechEdSat (TES-n) flight series as part of what is programmatically referred to as the BRAINSTACK.

BRAINSTACK will provide an orbital AI/ML evaluation laboratory where computational experiments are pre-loaded into memory prior to launch, and then executed as desired during the mission, with results reported back and program tweaks or new data sets uploaded as needed. Processors selected as part of the BRAINSTACK are of ideal size, packaging, and power consumption for easy integration into a cube satellite structure. These experiments have included the evaluation of small, high-performance GPUs and more recently, neuromorphic processors in LEO operations. Neuromorphic processors are of particular interest due to their superior computational power efficiency over GPUs. The first TES-n flight test of an Intel first-generation Loihi neuromorphic processor launched on January 13, 2022 and continues to operate in orbit despite almost no space environment modifications. The Intel Loihi Gen-1 is characterized by a 14nm 128-core Spiking Neural Network (SNN) able to support on-chip training. This experiment utilized a Loihi packaged in the ‘Kapoho Bay’ USB module, providing a relatively straight-forward interface to the bus avionics system. The Kapoho Bay was in turn managed by a host Intel Pentium single-board computer to handle scheduling of the AI/ML application payloads, and communications with the satellite vehicle manager. The recently released Intel Loihi Gen-2, able to support integer-valued spike payloads and produced using 7nm process, will form part of the basis of the evolving BRAINSTACK in the upcoming three TES-n/NOW flights. Additionally, it is planned to measure the radiation environment these processors experience to understand any degradation or computational artifacts caused by long term space radiation exposure on these novel architectures. This evolving flexible and collaborative environment involving various research teams across NASA and other organizations is intended to be a convenient orbital test platform from which many anticipated future space AI/ML applications may be initially tested.
Document ID
20230001696
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Marcus S Murbach
(Ames Research Center Mountain View, California, United States)
Logan Seth Schisler
(Ames Research Center Mountain View, California, United States)
Alejandro Salas
(Millennium Engineering and Integration (United States) Arlington, Virginia, United States)
Thom Stone
(Millennium Engineering and Integration (United States) Arlington, Virginia, United States)
Stanley M Krzesniak
(Millennium Engineering and Integration (United States) Arlington, Virginia, United States)
Avery Brock
(Millennium Engineering and Integration (United States) Arlington, Virginia, United States)
Samuel Zuniga
(Millennium Engineering and Integration (United States) Arlington, Virginia, United States)
Jose Luis Alberto Alvarellos
(Millennium Engineering and Integration (United States) Arlington, Virginia, United States)
Kwabena Boateng
(Millennium Engineering and Integration (United States) Arlington, Virginia, United States)
Aysha Rehman
(Universities Space Research Association Columbia, Maryland, United States)
Malachi Mooney-Rivkin
(Millennium Engineering and Integration (United States) Arlington, Virginia, United States)
Thomas W Hector
(Ames Research Center Mountain View, California, United States)
Date Acquired
February 2, 2023
Subject Category
Cybernetics, Artificial Intelligence and Robotics
Meeting Information
Meeting: 37th Annual Small Satellite Conference
Location: Logan, Utah
Country: US
Start Date: August 5, 2023
End Date: August 10, 2023
Sponsors: Ames Research Center
Funding Number(s)
WBS: 991444.01.01.49.A373.22
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
Professional Review
Keywords
Artificial Intelligence
Machine Learning
GPU
Neuromorphic
Spaceflight
Cube Satellite

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