Optical Computing, Energy Efficiency, Deep Learning, Hardware Accelerator.
networks can still be processed on any conventional electronic hardware like a GPU, but with far fewer operations required for the same maths to happen. This means that more channels in a convolutional network can be processed in parallel on the GPU, without having to make the GPU itself any