This tutorial–review on applications of artificial neural networks in photonics targets a broad
audience, ranging from optical research and engineering communities to computer science …

Photonic solutions are today a mature industrial reality concerning high speed, high
throughput data communication and switching infrastructures. It is still a matter of …

Neural networks have enabled applications in artificial intelligence through machine
learning, and neuromorphic computing. Software implementations of neural networks on …

Photonics offers exciting opportunities for neuromorphic computing. This paper specifically
reviews the prospects of integrated optical solutions for accelerating inference and training …

Recently, integrated optics has gained interest as a hardware platform for implementing
machine learning algorithms. Of particular interest are artificial neural networks, since matrix …

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Photonic neural networks benefit from the use of photons to perform intelligent inference
computing with ultrafast and ultralow energy consumption in ultra-high-throughput, providing …

Over the past decades, photonics has transformed many areas in both fundamental
research and practical applications. In particular, we can manipulate light in a desired and …

Nanophotonics has been an active research field over the past two decades, triggered by
the rising interests in exploring new physics and technologies with light at the nanoscale. As …

The recent explosive compute growth, mainly fueled by the boost of artificial intelligence (AI)
and deep neural networks (DNNs), is currently instigating the demand for a novel computing …