Random-mapped intensity optical neural network: all-optical two-layer computing for multimodal optical-field inference

Free-space optical neural networks offer distinct advantages for computational imaging and machine vision because they can compute directly on incident optical fields. However, conventional ONNs composed of cascaded linear optical components are bound to a general linear input-output relation with s