Good news! What a great spiral of innovation! Progress at a breathtaking speed!
"... Now, researchers at Princeton Engineering and the Indian Institute of Technology have harnessed artificial intelligence to take a key step toward slashing the time and cost of designing new wireless chips and discovering new functionalities to meet expanding demands for better wireless speed and performance. ...
What used to take weeks of highly skilled work can now be accomplished in hours. ...
Moreover, the AI behind the new system has produced strange new designs featuring unusual patterns of circuitry. ... the designs were unintuitive and unlikely to be developed by a human mind. But they frequently offer marked improvements over even the best standard chips. ..."
From the abstract:
"Millimeter-wave and terahertz integrated circuits and chips are expected to serve as the backbone for future wireless networks and high resolution sensing. However, design of these integrated circuits and chips can be quite complex, requiring years of human expertise, careful tailoring of hand crafted circuit topologies and co-design with parameterized and pre-selected templates of electromagnetic structures. These structures (radiative and non-radiative, single-port and multi-ports) are subsequently optimized through ad-hoc methods and parameter sweeps. Such bottom-up approaches with pre-selected regular topologies also fundamentally limit the design space.
Here, we demonstrate a universal inverse design approach for arbitrary-shaped complex multi-port electromagnetic structures with designer radiative and scattering properties, co-designed with active circuits. To allow such universalization, we employ deep learning based models, and demonstrate synthesis with several examples of complex mm-Wave passive structures and end-to-end integrated mm-Wave broadband circuits. The presented inverse design methodology, that produces the designs in minutes, can be transformative in opening up a new, previously inaccessible design space."
AI slashes cost and time for chip design, but that is not all (original news release) "Specialized microchips that manage signals at the cutting edge of wireless technology are astounding works of miniaturization and engineering. They’re also difficult and expensive to design."
Fig. 1: Deep learning enabled generalized inverse synthesis of high-frequency circuits.
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