Navigating Knowledge in Chip Design

This chapter explores the extraction of tacit knowledge from unstructured data in chip design and the role of trusted structured data in developing effective tools. It discusses recent advancements in AI-driven workflows, the construction of knowledge graphs with trust metrics, and the integration of virtual engineers to enhance automation. Additionally, the chapter analyzes the impact of AI on team dynamics, the challenges faced by startups in the electronics design automation space, and the importance of customized models for training in a data-sparse environment.