Applications of Artificial Intelligence on the Modeling and Optimization for Analog and Mixed-Signal Circuits: A Review

Recently, there have been many studies attempting to take advantage of advancements in Artificial Intelligence (AI) in Analog and Mixed-Signal (AMS) circuit design. Automated circuit sizing optimization and improving the accuracy of performance models are the two predominant uses of AI in AMS circuit design. This paper first introduces and explains the basic concepts in AI especially the ones that are more suitable to this application. Next, it surveys some recent studies of various AI techniques for AMS circuit design. Then, it discusses the main approaches as well as the pros and cons of each method. Finally, it gives meaningful insights about the current challenges and open issues, as well as recommends approaches for specific applications.

Automated summary

The advancement of Artificial Intelligence has been utilized in Analog and Mixed-Signal circuit design for automated circuit sizing optimization and enhancement of performance models. This paper introduces basic concepts of AI suitable for this application, surveys recent studies of AI techniques in AMS circuit design, discusses approaches, pros and cons, and provides insights on current challenges and recommends methods for specific applications.