Adaptable Constraint Extraction for ML in Design Verification
In recent years, the use of AI in design verification has become increasingly popular due to the growing complexity of designs and the need for more efficient verification methods. AI can help automate constraint optimization, optimize stimulus generation, and speed up root-cause analysis. However, beyond developing more intelligent methods, it