AI/ML-Driven Device Modeling for Advanced Nodes, RF and Power Applications

The rapid evolution of semiconductor technologies for advanced nodes, RF, and power applications demands accurate and efficient device modeling methodologies. Traditional approaches often struggle to keep pace with the growing complexity of modern devices. This talk explores how AI/ML is transforming device modeling at Keysight, enabling faster, more robust, and scalable solutions. We will introduce Keysight’s new ML Toolkit, featuring Python integration, ML optimizers, and an advanced Artificial Neural Network (ANN) toolbox for full and hybrid ANN modeling. Practical applications will be highlighted, including parameter extraction for advanced CMOS nodes, RF GaN-HEMT model development, and modeling for SiC and IGBT power devices. Additionally, we will showcase ongoing AI/ML initiatives at Keysight aimed at accelerating design workflows. Attendees will gain insights into how these innovations are shaping the future of device modeling and driving next-generation electronic design automation (EDA).