Optical neural networks hold promise for image processing :

Cornell researchers have developed an optical neural network that can filter relevant information from a scene before the visual image is detected by a camera, a method that may make it possible to build faster, smaller and more energy-efficient image sensors.

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Canada , Canadian , Mandar Sohoni , Peter Mcmahon , Tianyu Wang , Lucile Packard Foundation , Nonlinear Optical Neural Networks , National Science Foundation , Kavli Institute At Cornell , Nature Photonics , Cornell Engineering , Wendy Schmidt , Science Postdoctoral Fellow , Kavli Institute , Canadian Institute , Advanced Research Quantum Information Science ,