Using machine learning to improve all-in-one miniature spectrometers

An international team of researchers have designed a miniaturised spectrometer with high resolution, employing machine learning methodology as one of their tools. The results are reported in the journal Science. Traditionally, spectrometers rely on bulky components to filter and disperse light. In addition, these traditional spectrometers are heavy and large, which limits their application in portable and mobile devices. Modern approaches simplify these components to shrink footprints, but tend to suffer from limited resolution and bandwidth.