Circuit Design

Circuit design, encompassing both digital and analog circuits, aims to optimize circuit functionality, performance, and efficiency. Current research heavily utilizes machine learning, employing models like transformers, graph neural networks, and reinforcement learning algorithms to automate tasks such as logic synthesis, placement and routing, and parameter optimization. These advancements are significantly impacting electronic design automation (EDA), accelerating the design process, improving circuit quality, and potentially reducing design costs across various applications, from integrated circuits to biological circuit modeling.