Step-by-step application of AI in EDA.
AI has been used in EDA for many years for the core algorithms in tools, but it’s getting smarter and more optimized with the rollout of generative and agentic AI. As it evolves and improves, hardware engineers are finding ways to leverage it for more complex tasks. Ziyad Hanna, corporate vice president at Cadence, talks about five levels of autonomy in chip design that mirror those in the automotive industry, what agentic AI can do, and new challenges involving traceability and explainability.
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