Monday, March 2, 2026

  • Root cause analysis (RCA) is one of the most time-consuming and least scalable parts of the verification lifecycle. As SoCs grow exponentially in complexity and regressions span millions of cycles, engineers are left manually correlating waveforms, logs, assertions, and coverage data to answer a deceptively simple question: why did this test fail? In this session, we introduce an AI-agent–based approach to root cause analysis, developed and deployed in ChipAgents™ and already used in production verification flows at leading semiconductor companies. We will walk through how autonomous AI agents ingest simulation outputs (logs, waveforms, assertions, coverage), reason across design intent and testbench structure, and iteratively narrow failures to actionable root causes, often in minutes instead of days. Using real-world DV scenarios, we will demonstrate how AI-driven RCA: Automatically localizes failure sources across RTL, testbench, and constraints Distinguishes symptom signals from true root causes Generates explainable hypotheses engineers can validate and fix Scales across large regressions without adding human bottlenecks Attendees will leave with a clear understanding of how AI agents can be integrated into existing verification environments to dramatically reduce debug time, improve first-pass success, and free verification teams to focus on higher-value work.

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Tuesday, March 3, 2026

  • As chip designs grow more complex and software-driven, verification teams are running more engines, larger regressions, and deeper analyses than ever before—yet achieving confidence and closure often feels harder, not easier.

    In this Siemens EDA–sponsored luncheon panel, industry experts and practitioners discuss how verification is evolving as designs scale beyond the practical limits of any single engine. Panelists will share the challenges of coordinating simulation, formal, emulation, prototyping, and verification data, along with the pragmatic approaches teams use today—combining advanced commercial solutions with in-house workflows layered on existing platforms.

    Looking ahead, the discussion explores the shift from raw engine output to intelligence, including the role of AI technologies and emerging agentic approaches. The panel will examine how these capabilities are being explored—and in some cases applied—to interpret results, prioritize risk, and help verification engineers sustain confidence as scale continues to increase.

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Wednesday, March 4, 2026

  • Let's discuss over lunch how artificial intelligence is transforming hardware verification. We'll explore the evolution of AI and machine learning tools that are making verification smarter, more efficient, and more accessible—paving the way toward zero-bug silicon. Our aim is to understand how these advancements are shaping the future and what they mean for verification engineers today and in the future.

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