AI & Tech
Princeton AI Designs Radio Frequency Circuits in Minutes Using Alien Non-Human Patterns
Peter Diamandis
Fable 5 Is Back & Govt-Leashed, Altman Offers 5% of OpenAI & AI Grows Conscious | #269
What was said
"It's not one AI, but two working together. They trained a convol convolutional neural net to predict the physics. Feed any shape, and it tells you the EM fields, how the EM fields will behave without ever taking the slow route of solving Maxwell's equations. What used to take traditional solvers minutes to hours now takes milliseconds. Then they send an AI loop over that a thousand times, tens of thousands of times, inventing wild, non-intuitive circuits, shapes that no human would ever create."
Princeton and IIT Madras researchers created dual-AI system that designs radio frequency circuits in minutes versus weeks for humans. One neural network predicts electromagnetic physics instantaneously, while another iterates thousands of design variations producing alien-looking non-intuitive patterns no human engineer would conceive. The designs work efficiently but appear more like QR codes or organic structures than traditional human engineering.
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- Speaker
- Peter Diamandis · host
- Programme
- Peter Diamandis
- Episode
- Fable 5 Is Back & Govt-Leashed, Altman Offers 5% of OpenAI & AI Grows Conscious | #269
- Clip time
- 1:26:37
- Original source
- Watch the source segment →
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Peter Diamandis