Planning Your AI Design Journey In RF EDA
Planning Your AI Design Journey In RF EDA
A white paper proposes a strategic framework for RF and microwave engineering teams to adopt AI, built around three themes: Capture, Orchestrate and Accelerate. Capture turns engineering knowledge into reusable workflows, Orchestrate brings in agents to automate routine tasks, and Accelerate speeds up design exploration using machine learning, surrogate models and simulation correlated with measurements.
Agentic solutions for RF design.
Artificial intelligence is rapidly reshaping electronic design automation, creating new opportunities for RF and microwave engineering teams to improve productivity, preserve expertise, and accelerate innovation. As designs become increasingly complex and experienced engineers become harder to replace, organizations must find practical ways to integrate AI into existing workflows without disrupting proven design processes.
This white paper presents a strategic framework for AI adoption built around three complementary themes: Capture, Orchestrate, and Accelerate. Rather than prescribing a single transformation path, the framework enables organizations to pursue one or all three capabilities in parallel using the engineering tools they already rely on, including Advanced Design System (ADS), RFPro, RF Circuit Simulation Pro (Nexus), and Python. Capture focuses on making engineering knowledge reusable by transforming institutional expertise into accessible, repeatable workflows. Orchestrate introduces intelligent agents that automate routine engineering tasks and enable scalable design processes. Accelerate expands design exploration through machine learning, surrogate models, and measurement-correlated simulation to evaluate more design alternatives in less time.
Read more here.
Source: Semiconductor Engineering Chips and Packaging · semiengineering.com