Physics-Driven AI for Electronics Design
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White Paper
This paper examines the fundamental difference between semi-automated workflows that still require constant human oversight and truly autonomous systems that operate independently from concept to validated design. Through analysis of current R&D bottlenecks and emerging autonomous capabilities, readers will understand how this shift transforms engineering roles from managing tools to directing innovation. The research explores why organizations achieving true autonomy see 10x iteration velocity improvements while those relying on semi-automated solutions face diminishing returns on efficiency investments.
Key Takeaways
From Semi-Automated to Truly Autonomous: The Engineering Shift Redefining PCB Design