Optalysys says they have built the world’s first implementation of a convolutional neural network using its optical coprocessor.
Optalysys says they have implemented a CNN based on the MNIST dataset of hand-drawn numerals. The dataset is comprised of 60,000 training characters and 10,000 testing characters. According to the company, its optical laser technology enables them to process this model several orders of magnitude faster than conventional electronic hardware and does so at a fraction of the energy consumption.
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