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
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Kaushik Sengupta
10 posts
Kaushik Sengupta
@KSG_Princeton
Princeton ECE Prof, Codirects Princeton NextG. Research on semiconductor chips for computing, wireless and health. Involved in a start-up. Commentary views mine
Princeton, New Jersey Katılım Eylül 2024
23 Takip Edilen135 Takipçiler
Kaushik Sengupta retweetledi
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 t-lines) to completely arbitrary looking as desired.
Synthesis time ~ 1 minute.
outside five sigma@jwt0625
ok it actually works, uggghhh
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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.
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@jwt0625 Thanks @jwt0625 for verifying this. I lead this research group (and just joined twitter). Not surprised that they work--they can be super robust. Here is a non-intuitive RFIC paper that may be of interest: nature.com/articles/s4146…
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ok it actually works, uggghhh
Vikram Sekar@vikramskr
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.
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@vikramskr Thanks @vikramskr for sharing the paper. I just joined twitter--- it seems the paper is a rage here
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Kaushik Sengupta retweetledi
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
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Kaushik Sengupta retweetledi
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…
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