Princeton researchers used reinforcement learning and diffusion models to automate radio frequency integrated circuit design. This approach bypasses traditional manual layouts to achieve record performance. It slashes design time for 5G and satellite hardware. Practitioners now need large, shared chip datasets to scale these universal electromagnetic behaviors across the industry.