AI-Driven Semiconductor Systems: Emerging Directions in Data, Design, and Autonomous Manufacturing

The semiconductor ecosystem is undergoing a fundamental transition driven by recent advances in AI, cloud-scale infrastructure, and data-centric design methodologies. This talk highlights emerging directions across electronic design automation (EDA) and manufacturing, including AI-driven design space exploration, agentic workflows, and closed-loop optimization between design and fabrication. With exponential growth in process complexity and data generation, traditional heuristics are giving way to intelligent, data-driven systems. We discuss the evolution toward autonomous fabrication plants, where multimodal data, predictive analytics, and real-time control enable self-optimizing operations. The session emphasizes the need for unified data frameworks and cross-layer co-design to unlock scalable, resilient semiconductor innovation.