Using GPUs and deep learning to: "design an inverse-broadband mm-Wave amplifier chip with 3-port unequal phase divider and combiner for optimal frequency extension." "The inverse design methodology, produces the designs in minutes." Jan 5, 2025

As everyone knows, EM simulations, can either be achieved through heuristic algorithms such as genetic algorithms (GA), simulated annealing or generative AI tools such as auto-encoders or tandem neural networks. nature.com/articles/s4146…

Generative AI meets RF circuit design = game changer • Passive networks tailored by diffusion models. • Specify stop-band/pass-band; AI does the rest. • Pixel patterns are not intuitive to electrical response. Designs getting more abstract. Prepare for a cognitive shift.

This paper has garnered quite a bit of interest in the community. We call this Dall-EM: Diffusion model to synthesize RF with designer scattering parameters. This picture should explain. We do controlled synthesis of RF design varying from classical to maze (weird looped

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Extraordinary claims require extraordinary proofs. Pretty much well accepted axiom in society. Unless it’s politics or AI. Some of the claims in solving unsolved math problems are pure nonsense