Princeton University's proposed project, "IMAGINE: Inverse Methods and Generative AI for Algorithmic and Non-intuitive Design Explorations in RFICs," focuses on rapid, automated design and optimization from specifications to layout. The project aims to reduce design time and cost while discovering novel design spaces that enhance RFIC performance. The team, comprising top researchers from academia and industry, employs deep learning and generative AI to create predictive models and designs for complex RFICs.