Just as steam engines allowed mass production of labor-intensive products, AI techniques have the potential to realize mass production of knowledge and intelligence-intensive products. However, there is currently a gap between off-the-shelf AI techniques and real-world electronic design. Filling this gap, to transform AI techniques for electronic design from laboratory to industry, is the aim of the AI-Driven Design Automation and Computer-Aided Engineering Lab (AIDAC). Our research focuses on machine learning and data-driven optimization-based methodology for electronic circuit and system design, unblocking bottlenecks in design complexity and time-to-market.