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EDN September 29, 2026 By Majeed Ahmad neutral

Rethinking RTL flows with AI-driven hybrid formal verification

AI / LLMSemiconductors
<img width="2048" height="829" src="https://www.edn.com/wp-content/uploads/Hero-image-44.jpg?fit=2048%2C829" class="webfeedsFeaturedVisual wp-post-image" alt="" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" fetchpriority="high" srcset="https://www.edn.com/wp-content/uploads/Hero-image-44.jpg?w=2048 2048w, https://www.edn.com/wp-content/uploads/Hero-image-44.jpg?w=300 300w, https://www.edn.com/wp-content/uploads/Hero-image-44.jpg?w=768 768w, https://www.edn.com/wp-content/uploads/Hero-image-44.jpg?w=1024 1024w, https://www.edn.com/wp-content/uploads/Hero-image-44.jpg?w=1536 1536w, https://www.edn.com/wp-content/uploads/Hero-image-44.jpg?w=1900 1900w" sizes="(max-width: 2048px) 100vw, 2048px" /><p>Here is how an AI-assisted workflow uses machine learning to prioritize review of thousands of properties in a chip design.</p> <p>The post <a href="https://www.edn.com/rethinking-rtl-flows-with-ai-driven-hybrid-formal-verification/">Rethinking RTL flows with AI-driven hybrid formal verification</a> appeared first on <a href="https://www.edn.com">EDN</a>.</p>
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