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An AI Model Fit For Purpose
Quoted on judging AI models for EDA: accuracy has to separate syntactic correctness, functional correctness and formal completeness, and a model's reliability is bounded by the distribution of the data it was trained on.
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What is the EDA problem worth solving with AI?
Most AI work in EDA speeds up what engineers already do. This article looks at the positions of the large EDA vendors, the agentic start-ups and the in-house teams at large chip companies, and proposes foundation models specialised with formal and domain structure, open APIs and serious collaboration between industry and universities.
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Axiomise podcast with Ashish Darbari