Migrating complex radio frequency (RF) designs to advanced process nodes is traditionally a labor-intensive, manual task that risks performance degradation. To streamline this transition, designers are adopting an AI-powered migration flow that significantly boosts productivity. Keysight software plays a critical role by automating the complex mapping of layout-dependent effects and device parameters across different process technologies. By leveraging advanced machine learning algorithms, the software intelligently optimizes RF circuit schematics and layout geometries. This systematic approach ensures design consistency, dramatically reduces simulation cycles, and helps engineers achieve first-pass silicon success while accelerating the time-to-market for next-generation, high-performance

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