Physics-Driven AI for Electronics Design
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White Paper
This paper examines how modern R&D teams are achieving 10x faster prototype iterations without expanding headcount or compromising design integrity. Through analysis of emerging workflows that parallelize traditionally sequential processes, it reveals why the difference between 2-day and 2-week iteration cycles determines market position in hardware development. Engineering leaders will gain insight into how physics-constrained automation, continuous validation loops, and asynchronous design patterns are creating a new class of R&D organizations that iterate at software speeds while maintaining hardware precision.
Key Takeaways
The Physics of Speed: Rethinking R&D Iteration Cycles