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 ,