Freely scalable and reconfigurable optical hardware for deep learning
Scientific reports, pp. 31442021.
As deep neural network (DNN) models grow ever-larger, they can achieve higher accuracy and solve more complex problems. This trend has been enabled by an increase in available compute power; however, efforts to continue to scale electronic processors are impeded by the costs of communication, thermal management, power delivery and clockin...More
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