Semiconductor verification is increasingly complex, consuming more resources than any other stage of chip design. AI and ML now enhance verification by improving quality of results, speeding time to closure, and reducing costs. In static verification, ML clustering and root cause analysis cut debug time up to 10X. Formal verification uses reinforcement learning and regression acceleration for 2–5X faster convergence. Simulation benefits from dynamic performance optimization and intelligent coverage, delivering 1.3–3X efficiency gains. Automated debug halves failure analysis time. Together, these advances enable faster, cheaper, and more reliable verification.

Join for free to read