Few-Shot Neuromorphic Vision in a Nonlinear Photonic Network Laser
This paper introduces a retinally-inspired photonic computing system based on a random network laser that utilizes heterogeneous, inhibitively-coupled lasing modes to achieve high-accuracy few-shot classification and segmentation, outperforming state-of-the-art software models in low-data regimes.