Session

DescriptionArtificial Intelligence is rapidly transforming front-end semiconductor development, and this session focuses on its impact across verification and early-stage design flows. A new group of startups and technical leaders will present AI-driven solutions for functional verification, debug, coverage closure, testbench productivity, and design quality improvement.
The discussion emphasizes practical methods addressing persistent front-end bottlenecks: increasing design complexity, rising verification workloads, schedule pressure, and engineering productivity. Speakers will share real-world experiences and lessons learned from applying machine learning, generative AI, and automation in modern verification environments.
Attendees will gain insight into where AI is delivering measurable value, how these technologies fit existing methodologies, and what opportunities are emerging next. This session is intended for verification engineers, RTL developers, EDA practitioners, and semiconductor leaders evaluating next-generation front-end tools.