AI for RTL Design and Verification | Session 2: Benefits, Limitations and Evidence

AI for RTL Design and Verification | Session 2: Benefits, Limitations and Evidence

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This session examines the benefits and limitations of AI-assisted design verification, focusing on engineering productivity, coverage closure, PPA case studies, hallucinations, false positives, IP risk and the full cost of tool use and review.

The live demonstration uses AlpinumDV, Alpinum's agentic verification system, on an adder and an ALU.

This session is part of a 3-session professional training programme:

• Session 1 — AI Methods in RTL and DV

• Session 2 — Benefits, Limitations and Evidence

• Session 3 — Tools, Deployment and Execution

REGISTRATION FOR ALL 3 SESSIONS IS 60$ ONLY.

What You Will Learn

• Coverage closure and verification productivity

• AI-assisted RTL and UVM workflows

• PPA case studies

• AI hallucinations and false positives

• Intellectual property (IP) risks

• The cost of AI tool use and engineering review

• How to examine generated verification plans and simulation outcomes

• How to assess coverage and recognise incomplete or failing results

Why This Matters

AI-generated verification results require critical evaluation. Productivity gains must be considered alongside result quality, IP risks and the engineering effort needed to review and validate outputs.

This session demonstrates how to examine generated plans, simulator outcomes and coverage evidence before accepting a verification result.

Ideal For

• RTL designers

• Design verification engineers

• Verification leads

• Engineering managers evaluating AI verification tools

Basic RTL and simulation knowledge is required. Familiarity with SystemVerilog or UVM is helpful.

Training Format

• 2-hour live online training session

• Concise teaching and live demonstrations

• AlpinumDV demonstration using an adder and an ALU

• Review of the generated verification plan

• Inspection of simulation outcomes and coverage

• Examination of an incomplete or failing result

This session is Session 2 of the 3-session AI for RTL Design and Verification Programme.