Loading patent…
AssigneeThe George Washington University
InventorsMario Miscuglio, Volker Sorger
Estimating the term…
Amplitude-only Fourier optical processors is capable of processing large-scale matrices in a single time-step and microsecond-short latency. The processors may have a 4f optical system architecture and may employ reprogrammable high-resolution amplitude-only spatial modulators, such as Digital Micromirror Devices (DMD). In addition, methods are provided for obtaining amplitude-only electro-optical convolutions between large matrices displayed by the DMDs. The large matrices on which convolution is performed may be feature maps corresponding to images and kernel matrices used in neural networks classification systems. Analog optical convolutional neural networks are also provided that perform accurate classification tasks on large matrices. In addition, methods are provided for off-chip training the analog optical convolutional neural networks. The training includes building an accurate physical model for the analog optical processor and performing computer simulations of the optical processor according to the physical model. The methods do not need to employ any interferometric scheme.
An analog optics based convolutional neural network (CNN) for optical information processing for performing data classification and/or processing, the Analog-Optics-CNN comprising:
A system for performing high-speed iris classification and recognition, the system comprising:
Dependencies are inferred from the claim text.