Researchers at Princeton used reinforcement learning and diffusion models to automate RFIC design. This approach generates novel layouts that outperform human-engineered circuits while slashing development time. The team now calls for shared chip datasets to scale these results. Engineers can finally bypass the manual "dark art" of electromagnetic circuit layout.