AI model extracts hidden semiconductor properties from simple transistor tests in under 1 millisecond

A tandem neural network capable of inferring key physical parameters of semiconductor materials from simple transistor measurements has been developed, as reported by researchers from the Institute of Science, Tokyo. While conventional approaches for this type of analysis require hours or even days, the proposed system produces results in under 1 millisecond with near-perfect accuracy.

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