Physics-Driven AI for Electronics Design
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White Paper
This paper examines how leading R&D teams are breaking free from sequential prototyping workflows that constrain innovation velocity. Through analysis of current hardware development practices, it reveals why traditional approval gates and manual iteration cycles no longer match the pace of modern product development. Readers will discover how adopting parallel experimentation, automated validation, and development-mode thinking enables teams to compress time-to-insight from months to days—without compromising quality or manufacturability.
Key Takeaways
From Months to Days: Rethinking Hardware Prototyping Velocity