PHOTONIC CHIPS LEARN AFTER FABRICATION BY MEASURING THEIR OWN OPTICAL GRADIENTS

Summary from the TLDR Hardware newsletter

A Nature Computational Science briefing describes an in situ learning method where photonic integrated circuits directly measure optical gradients, so diverse circuit layouts can be trained after they're built. That removes the need for a full digital model of the chip, which optical training normally leans on. The team demonstrated matrix design, multiwavelength computation, and rapid meta-learning on the hardware. Specifics like accuracy or energy figures aren't included.