Synopsys is a prominent company in electronic design automation focused on silicon design, verification, software integrity, and security. Their tools are crucial for developing modern chips and embedded software, which are used in devices like smartphones and vehicles.
The process of designing chips is highly intricate, often spanning months or years and involving the collaboration of numerous engineers. Recent advancements in AI are beginning to revolutionize this process by reducing the need for manual work, speeding up development times, and enabling innovative design approaches.
Thomas Andersen, Vice President of AI and Machine Learning at Synopsys, has been with the company for over 15 years. He discusses with Kevin Ball the changing role of AI in hardware design, the difficulties of training models with unrecorded chip engineering knowledge, the rise of domain-specific large language models (LLMs), and the potential future directions of this rapidly evolving field.
Kevin Ball, also known as KBall, is the Vice President of Engineering at Mento and works as an independent coach for engineers and engineering leaders. He has co-founded and served as CTO for two companies, started the San Diego JavaScript meetup, and organizes the AI inaction discussion group through Latent Space.