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Found 9 papers, 1 papers with code
Spatially Varying Nanophotonic Neural Networks
The explosive growth of computation and energy cost of artificial intelligence has spurred strong interests in new computing modalities as potential alternatives to conventional electronic processors.
Thin On-Sensor Nanophotonic Array Cameras
The optical array is embedded on a metasurface that, at 700~nm height, is flat and sits on the sensor cover glass at 2. 5~mm focal distance from the sensor.
Photonic Advantage of Optical Encoders
Keeping the latency and power constant between purely digital ANN and hybrid optical-digital ANN, we identified a low-power/ latency regime, where an optical encoder provides higher classification accuracy than a purely digital ANN.
Foveated Thermal Computational Imaging in the Wild Using All-Silicon Meta-Optics
A computational backend then utilizes a deep image prior to separate the resultant multiplexed image or video into a foveated image consisting of a high-resolution center and a lower-resolution large field of view context.
Inverse-Designed Meta-Optics with Spectral-Spatial Engineered Response to Mimic Color Perception
Meta-optics have rapidly become a major research field within the optics and photonics community, strongly driven by the seemingly limitless opportunities made possible by controlling optical wavefronts through interaction with arrays of sub-wavelength scatterers.
Knowledge Distillation Circumvents Nonlinearity for Optical Convolutional Neural Networks
However, a major challenge in using this spectral approach, as well as in an optical implementation of CNNs, is the inclusion of a nonlinearity between each convolutional layer, without which CNN performance drops dramatically.
2D beam shaping via 1D spatial light modulation
Many emerging reconfigurable optical systems are limited by routing complexity when producing dynamic, two-dimensional (2D) electric fields.
Optics
Design and Optimization of Ellipsoid Scatterer-based Metasurfaces via the Inverse T-Matrix Method
Large-area metasurfaces composed of discrete wavelength-scale scatterers present an extremely large number of degrees of freedom to engineer an optical element.
Optics
An Optical Frontend for a Convolutional Neural Network
The parallelism of optics and the miniaturization of optical components using nanophotonic structures, such as metasurfaces present a compelling alternative to electronic implementations of convolutional neural networks.
