Formal verification offers unmatched rigor in ensuring design correctness, but its adoption is often hindered by steep learning curves, manual effort, and delayed integration into the design flow. This workshop explores how artificial intelligence (AI) is transforming formal verification into a more accessible, scalable, and efficient methodology from the earliest stages of development as well as being weaved through different phases of formal verification. AI can intelligently guide assertion generation, property selection, and proof strategies—dramatically reducing setup time and increasing coverage. By learning from design patterns, verification history, and specification intent, AI enables earlier deployment of formal methods, improves usability for non-experts, and accelerates convergence for seasoned practitioners.

You will hear talks from industry leaders such as Nvidia, Google as well as Synopsys IP showing real-world example usages and results. Attendees will gain practical insights into AI-augmented formal verification workflows that deliver faster results, higher confidence, and reduced human effort. Whether you’re a verification engineer, formal expert, or RTL designer, this session will show how to harness AI to make formal easier to adopt and more impactful than ever before.