At the intersection of artificial intelligence and electrical engineering, a research team has found a way to teach machines to listen to the subtle noise of power converters and respond — not with a fixed rule, but with continuous, learned judgment. The problem of input current ripple, long managed through rigid timing formulas that falter whenever conditions shift, has been met with a neural network small enough to fit on a few dollars' worth of hardware yet capable of optimizing converter behavior thousands of times per second. This is a quiet but consequential step: the replacement of brit