Nanowerk  June 4, 2022 In the optical domain, despite advances in photonic computation, the lack of scalable on-chip optical non-linearity and the loss of photonic devices limit the scalability of optical deep networks. Researchers at the University of Pennsylvania created an integrated end-to-end photonic deep neural network (PDNN) that performs sub-nanosecond image classification through direct processing of the optical waves impinging on the on-chip pixel array as they propagate through layers of neurons. In each neuron, linear computation was performed optically, and the non-linear activation function was realized opto-electronically, allowing a classification time of under 570 ps, which is comparable with […]