AI Creates Radio Chip Designs That Humans Couldn't Even Imagine
Princeton researchers use reinforcement learning and diffusion models to design radio-frequency integrated circuits (RFICs) from scratch, achieving record performance in a fraction of the time. The AI-generated layouts are often unrecognizable to human designers but outperform state-of-the-art chips.
Princeton University (Sengupta Lab)
IEEE Spectrum AI27.07 · 10:05