Redundancy in AI: A Hybrid Convolutional Neural Networks CNN Approach to Minimize Computational Overhead in Reliable Execution

A method called redundant execution is proposed to ensure the safety and reliability of AI systems by integrating reliable and non-reliable execution. It focuses on minimizing computational overhead while optimizing resources. The method uses a hybrid convolutional neural network architecture and demonstrates feasibility through experiments.