Agentic AI Automates RTL Waveform Analysis And Debugging (Columbia, Google)
<p>Researchers at Columbia University, Google DeepMind, and Google published a technical paper titled “Back to the Future: Rethinking EDA Infrastructure for Agentic Systems in Chip Design Verification.” Abstract “The unprecedented computational scale of modern artificial intelligence depends on complex, multi-billion-transistor Systems-on-Chip, yet the workflows that verify these chips remain stubbornly manual. Although Large Language Models... <a class="read_more" href="https://semiengineering.com/agentic-ai-automates-rtl-waveform-analysis-and-debugging-columbia-google/">» read more</a></p>
<p>The post <a href="https://semiengineering.com/agentic-ai-automates-rtl-waveform-analysis-and-debugging-columbia-google/">Agentic AI Automates RTL Waveform Analysis And Debugging (Columbia, Google)</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
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