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
Boost model accuracy with the ANN Toolkit.
Explore how the hybrid ANN approach can be used to enhance model accuracy by compensating for limitations or inaccuracies in existing compact models.
Introducing the ML Optimizer and explore how it enhances modeling efficiency across all device types.
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