Physics-Driven AI for Electronics Design
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White Paper
This white paper examines how modern engineering organizations navigate the transition from small R&D experiments to enterprise-scale production while maintaining design velocity and quality. Through analysis of current scaling challenges—from resource allocation to workflow standardization—it reveals why traditional approaches create exponential complexity as teams grow. The paper explores emerging patterns in scalable design automation, where consistent performance across project scales becomes a strategic differentiator rather than an operational burden.
Key Takeaways
Scaling PCB Design: From Prototype to Production Without Multiplying Complexity