What Can Machine Learning Do for Circuits?: Practical findings from principled machine learning applications https://sscs.ieee.org/wp-content/themes/movedo/images/empty/thumbnail.jpg 150 150 https://secure.gravatar.com/avatar/8fcdccb598784519a6037b6f80b02dee03caa773fc8d223c13bfce179d70f915?s=96&d=mm&r=g
Abstract:
Analog and mixed-signal circuit design automation has remained a longstanding objective spanning several decades of research. This article examines how machine learning (ML) can help realize new capabilities in this domain. AstRL [analog and mixed-signal (AMS) synthesis with reinforcement learning], a topology-level circuit design framework, is introduced to demonstrate recent …