Course Level : Basic

AI/ML Innovations in Device Modeling

About the Bootcamp

This EDA bootcamp provides a practical foundation in applying machine learning to enhance the accuracy and efficiency of device modeling. Keysight’s ANN Toolkit is a powerful tool that enables design engineers to create high-quality models for a wide range of devices with minimal programming effort. The ML Optimizer is an AI‑driven tool that accelerates device model parameter extraction, delivering faster convergence, higher accuracy, and greater robustness than traditional optimizers.

Audience

This Electronic Design Automation (EDA) bootcamp is ideal for Device Modeling engineers seeking fast, accurate solutions when standard models are unavailable or insufficient, and anyone interested in applying machine learning techniques to accelerate model development.

Learn

  • How ANN enhances the performance of device models
  • How ANN techniques solve nonlinear and data-specific modeling challenges
  • How to configure, train, and deploy ANN models using Keysight's IC-CAP ANN Toolkit
  • Step-by-step workflows for creating ANN models in real design environments
  • How the ML Optimizer achieves faster and more stable optimization and enables a more robust and automated modeling flow
  • How to use ML Optimizer on different types of devices

Related Resources

Lessons

Ready to take the next step to put these design techniques to work?

Start your design with Keysight EDA software.