ASO.ai: Leveraging AI-Driven EDA to Optimize Analog Circuit Design and Migration at Advanced Process Nodes

As semiconductor technology continues to advance, circuit design optimization and migration have become increasingly complex and resource-intensive. Traditional Electronic Design Automation (EDA) tools rely heavily on manual tuning and rule-based approaches, which often struggle to keep up with the growing demands for efficiency, accuracy, and scalability. To address these challenges, AI-driven EDA is emerging as a transformative solution, leveraging machine learning and data-driven techniques to enhance design quality and streamline migration processes. This presentation explores how AI-driven EDA can optimize circuit design by ASO.ai. Additionally, we will examine its role in circuit migration, where AI can help adapt designs to new technology nodes while minimizing human intervention and reducing errors. By integrating AI-based layout migration technology, modern EDA tools can significantly reduce design cycle times and improve overall productivity. We will also discuss real-world applications, industry case studies, and future trends in AI-driven EDA, highlighting its potential to revolutionize semiconductor design workflows. As the industry moves toward more complex and advanced processes, embracing AI-driven methodologies will be key to maintaining competitiveness and achieving higher levels of automation in analog circuit design and migration.