Soft Error

Soft errors, transient faults causing bit flips in hardware, pose a significant reliability challenge for increasingly complex systems, particularly in deep learning and embedded applications like autonomous vehicles. Current research focuses on developing efficient error mitigation strategies, including adaptive protection schemes that tailor redundancy to input complexity and selective protection of hardware components based on their vulnerability. These efforts aim to improve the reliability of AI systems and safety-critical devices without incurring excessive performance or area overhead, addressing a crucial need for robust and dependable computing in various domains.