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AI Designs Radio Chips that Challenge Human Intuition and Accelerate the Future of 5G
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A Princeton group is using reinforcement learning, reverse design, and diffusion models to create radio frequency chips from scratch in much less time than a human. The breakthrough aims to unlock the development of 5G, automotive radar, satellite communications, and future 6G networks, although it still faces verification, data, and ecosystem opening limits. *** Princeton researchers developed AI systems capable of designing RPICs from scratch,…
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