Agentic AI Automates Design-Rule Repair While Preserving Layout Equivalence (Purdue University)

<p>Researchers at Purdue University published a technical paper titled “DRC-Aid: Design-Rule Correction via Agentic Framework utilizing Inference-Time Large Language Models.” Abstract Excerpt: “We present DRC-Aid, a closed-loop agentic framework that automates local DRC repair by formulating it as verification-in-the-loop search. To constrain the combinatorial geometric repair space, a deterministic Rule Engine converts physical verification tool-reported... <a class="read_more" href="https://semiengineering.com/agentic-ai-automates-design-rule-repair-while-preserving-layout-equivalence/">&#187; read more</a></p> <p>The post <a href="https://semiengineering.com/agentic-ai-automates-design-rule-repair-while-preserving-layout-equivalence/">Agentic AI Automates Design-Rule Repair While Preserving Layout Equivalence (Purdue University)</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>