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Optical Neural Nets Speed Image Processing Without Compromise to Accuracy | Research & Technology

Researchers at Cornell University have developed an optical neural network (ONN) that can filter relevant information from a scene before the visual i ....

Tianyu Wang , Mandar Sohoni , Peter Mcmahon , Charissa King Obrien , Lucile Packard Foundation , National Science Foundation , Researchers At Cornell University , Kavli Institute At Cornell , Cornell University , Kavli Institute , Canadian Institute , Advanced Research Quantum Information Science , Nature Photonics , Research Amp Technology , Sensors Amp Detectors , Machine Vision , Computer Vision , Optical Neural Network ,

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. ....

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 ,