AI-Enabled Layout Automation for Analog and RF IC: Current Status and Future Directions

This paper provides an overview of AI-enabled layout automation for analog and RF integrated circuits (ICs). We examine recent advancements in machine learning algorithms, optimization techniques, and AI-driven design methodologies tailored to the unique challenges of analog and RF IC layout. The paper highlights the benefits, limitations, and key achievements of these AI approaches and identifies existing gaps. Finally, we discuss future directions and research opportunities, emphasizing AI's potential to enhance the efficiency and accuracy of IC layout design.