Online, 09/10/2025 – The semiconductor industry is on the cusp of an AI revolution, yet significant barriers persist, particularly around data provenance and liability. While Generative AI (GenAI) technologies have transformed software development, their adoption in semiconductor design is hindered by the industry's unique challenges—such as highly protected intellectual property (IP) and the extraordinary costs associated with errors.
This webinar will explore the emerging role of GenAI in semiconductor and embedded systems design, focusing on the critical issues of data provenance, quality, and traceability in training internal AI models. These factors are essential to ensure model reproducibility, reliability, and accountability, as well as to mitigate risks and foster trust in AI adoption.
Additionally, we will introduce IP Lifecycle Management (IPLM) as a robust framework for managing and tracking the IPs used in AI training, paving the way for innovative applications in semiconductor design.