Redundancy In Ai: A Hybrid Convolutional Neural Networks Cnn Approach To Minimize Computational Overhead In Reliable Execution

Researchers have proposed a method of “redundant execution” to address the challenge of ensuring the reliability and safety of AI models, particularly in systems where safety integrated functions are essential. This hybrid approach aims to optimize resources while ensuring dependable performance, extending the application scope of AI accelerators in edge-AI devices.