AI-based automated circuit design optimization technology

This paper introduces a novel AI-based automated circuit design optimization method aimed at enhancing design quality and efficiency. The proposed modular architecture integrates artificial intelligence with circuit design expertise, comprising key components for data processing, optimization algorithms, circuit simulation, and feedback mechanisms. We implement and test this system on a high-performance computing cluster, utilizing a comprehensive test suite of both analog and digital circuits. Our method demonstrates significant improvements in critical performance metrics, including power consumption, delay, and area, with enhancements ranging from 10% to 30% compared to traditional design approaches. The system's ability to generate multiple optimized design candidates under various constraints provides designers with flexible trade-off options. Furthermore, the high degree of automation in our approach substantially reduces manual effort and accelerates the design process. These results underscore the potential of AI-driven techniques to revolutionize integrated circuit design methodologies.