Accelerating Innovation: AI-Driven Advances in Sigrity, Clarity, and Optimality

This talk will highlight Cadence’s recent progress in applying AI to advance electromagnetic, signal integrity, and power integrity design. We will discuss how Large Language Models (LLMs) drive automation in design and documentation workflows, how pretrained neural networks are accelerating EM extraction within our solvers, and how AlphaGo-inspired architectures enable intelligent exploration and generation of new designs. These AI-driven innovations in Sigrity, Clarity, and Optimality create a new paradigm where physics-based rigor and machine intelligence come together to accelerate innovation in high-speed, multiphysics systems.