r0nlt/Space-Radiation-Tolerant

Space Labs AI presents: A radiation-tolerant machine learning framework enabling neural networks to operate reliably in space environments. Features adaptive protection, Reed-Solomon error correction, and breakthrough architecture optimizations that improve performance under radiation.

7 best points · 14 comments · 4 Hacker News posts · 18 GitHub stars · View on GitHub

Hacker News discussions

• Radiation-tolerant ML framework for space (7 points, 6 comments, by r0nlt, 2025-05-08)
• Radiation Tolerant Software Framework for Space Applications (6 points, 4 comments, by r0nlt, 2025-05-08)
• Added Quantum Field Theory to a Radiation Simulator for 22% Better Predictions (2 points, 1 comments, by r0nlt, 2025-05-09)
• SpaceRadiationTolerant Framework Achieves 97% Uptime in Extreme Space Conditions (2 points, 3 comments, by r0nlt, 2025-05-12)