Surveying GenAI-Based Automation in Printed Circuit Board Design and Test (arxiv.org)

A recent survey has highlighted the burgeoning role of generative artificial intelligence (GenAI) in automating the design and testing processes of printed circuit boards (PCBs), moving beyond its established applications in integrated circuit design. This study comprehensively explores the entire PCB lifecycle, encompassing stages from system specifications, circuit design, optimization, and testing, to assembly and distribution. The researchers categorized existing works based on their contributions, emphasizing the diverse potential of GenAI in enhancing efficiency and reducing manual effort in hardware development. The significance of this survey lies in its identification of key technical challenges that GenAI faces in the PCB domain, including limited availability of domain-specific data and the complexities of integrating GenAI solutions with existing PCB design tools. These insights pave the way for future research opportunities in this area, pointing toward the necessity for innovative approaches that can leverage GenAI's capabilities across various tasks in PCB design and testing. As the landscape of hardware design evolves, integrating GenAI into the PCB sector could profoundly impact the industry's productivity and innovation trajectory.