Machine learning payload operations from the ground to space and back again with Mission Persistence @FlightSoftwareWorkshop
Machine learning payload operations from the ground to space and back again with Mission Persistence @FlightSoftwareWorkshop
Uploaded April 2026 | Updated September 2026, 2 weeks ago
Luis Chavier (Mission Control, Canada) presents "Machine learning payload operations from the ground to space and back again with Mission Persistence" for FSW Workshop hosted by The Johns Hopkins Applied Physics Laboratory March 2026.
Machine learning payload operations from the ground to space and back again with Mission PersistenceFSW 2024: Day 2- Enhancing Safety-Critical Class A Flight Software through MC/DCFSW 2023- Day 3- GR765 The Next Generation LEON5 and RISC V Fault Tolerant ProcessorFSW 2023: Day 3- When FSW Gets Grounded Gaining Efficiencies from a Ubiquitous Software StackLLM-Based Software Test GenerationDeep Space on a budget – adapting commercial avionics and FSW for NASA’s twin ESCAPDE spacecraftGSFC Flight Software for Roman Space TelescopeSpace Instrument Virtualization, Development, and Validation Using Open-Source ToolsDistributed Consensus for Safe Two-Spacecraft AutonomyFSW 2023 : Day 3 - Remote Work: the Good, the Bad, the Ugly, and the Way ForwardA Code First Approach to Space Network Management with RustAdaptive Compute Mapping for Interplanetary Spacecraft
Flight Software Workshop |

Machine learning payload operations from the ground to space and back again with Mission Persistence

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER