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AI/ML for Space Applications on RISC-V

– Whitepapers, PikeOS, Avionics & Defense, R&T Projects, Security, Space

This whitepaper explores the role of advanced software and AI/ML algorithms in enhancing autonomy, resilience, and efficiency for mission-critical Space applications. It highlights the importance of real-time decision-making, onboard data processing, and fault-tolerant systems for tasks such as Earth observation, navigation, and scientific missions. The emerging RISC-V architecture is presented as a cost-effective, scalable solution for space-grade computing. 

Preliminary results from the European REBECCA project are discussed, showcasing collaboration between SYSGO and Klepsydra to port AI workloads to PikeOS on the REBECCA RISC-V processor. The paper also presents early tests on Teledyne e2v hardware and outlines future efforts to strengthen European capabilities in AI-driven Space systems.


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arinc 653, avionics, cloud, cybersecurity, mils, r&t project, risc-v, security, space

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