Physics-Driven AI for Electronics Design
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White Paper
This paper examines how leading electronics teams are abandoning traditional cost-optimization workflows in favor of rapid iteration cycles during prototyping. Drawing from physics-driven design automation and real-world case studies, it reveals how Development Mode accelerates time-to-insight by prioritizing functional exploration over premature optimization. Engineering teams adopting this framework report 10x faster design iterations and fundamentally different approaches to risk management and innovation strategy.
Key Takeaways
From Optimization to Iteration: The R&D Paradigm Shift