Safety in Memory Architectures for Autonomy (Invited)

Autonomous vehicles rely on high-performance computing platforms for real-time perception, decision-making, and control. These platforms process data from multiple sensors, execute AI-driven tasks, and require stringent safety guarantees. Memory subsystems play a pivotal role in ensuring reliable operation, as faults in memory can compromise system performance and safety.