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Keysight’s Machine Learning Toolkit to Speed Device Modeling and PDK Dev
Feb. 02, 2026 –
By Luke James, allaboutcircuits.com
The new toolkit integrates with Keysight’s device modeling software to automate parameter extraction and shorten compact-model and PDK development cycles.
Keysight Technologies has introduced a machine learning toolkit to accelerate device modeling and process design kit development, addressing a long-standing bottleneck in advanced semiconductor design flows. Delivered as part of Keysight’s Device Modeling Software Suite, the toolkit automates compact-model extraction, reduces manual tuning, and supports faster design-technology co-optimization.
The Machine Learning Toolkit (MLT) targets teams responsible for building and maintaining device models in circuit simulation and PDK delivery. Compact-model development has become an increasingly important path item that can take weeks or more as device architectures become more complex. Keysight designed MLT to compress that timeline by embedding machine learning-driven optimization and automation directly into established modeling workflows.
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