… applications of neural networks. It is important to stress that although our focus in this
tutorial–review is on photonics, … in a much wider range of scientific and engineering applications. …

… approaches in implementing neural networks. Next, we provide a rationale for … new
applications enabled by photonic neural networks and highlight the role of photonic neural networks …

… A number of research efforts have been undertaken in the field of photonic devices implementing
neural network functionalities. The rationale behind these studies lies in the expected …

… of Artificial Neural Networks and delay systems, the seminal experimental demonstrations of
Reservoir Computing in photonic … , in this tutorial, we focus on the photonic implementations, …

… Optical waveguides are devices that guide the propagation of … programmable photonic neural
networks can be realized. … ‘‘Implementation of a large-scale optical neural network by use …

… for chip-level implementation of an analog photonic synaptic processing unit. In Figure 10,
we show a device layout to implement the neural network operations based on the …

… with the theory and implementation of neural networks. Third, photonic structures can be …
This Review provides both a tutorial introduction to basic machine-learning concepts and a …

… for specific applications. In this review paper, we summarize the design methodologies for
silicon photonics including iterative optimization algorithms and deep neural networks. In case …

… artificial neural network (ANN) design framework for devices that can be used as building
blocks in integrated photonic … We implemented various tests to validate the network’s accuracy. …

… allows introduction of biases to guide certain design directions such as a … photonics
fabrication design rules. We believe the presented GDNN algorithm can be widely implemented in …