Physics-Driven AI for Electronics Design
Thank you for subscribing!
Look out for news and updates.
Subscribe to our newsletter
White Paper
This paper examines how physics-based automation fundamentally transforms PCB design iteration cycles—turning historical bottlenecks into parallel workflows. Through analysis of current R&D constraints and emerging automation architectures, readers will understand why manual layout is becoming a solved problem. The convergence of reinforcement learning, constraint validation, and automated routing enables engineering teams to generate multiple validated candidates in the time previously required for a single manual iteration.
Key Takeaways
From Weeks to Hours: The Physics-Driven PCB Revolution