This review presents an overview of the current state‐of‐the‐art in photonics computing,
which leverages photons, photons coupled with matter, and optics‐related technologies for …

We demonstrate a programmable analog opto-electronic (OE) circuit that can be configured
to provide a range of nonlinear activation functions for incoherent neuromorphic photonic …

Recently there has been growing interest in using photonics to perform the linear algebra
operations of neuromorphic and quantum computing applications, aiming at harnessing …

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 …

In this paper, we introduce optics-informed Neural Networks and demonstrate
experimentally how they can improve performance of End-to-End deep learning models for …

The unprecedented progress in computational technologies led to a substantial proliferation
of artificial intelligence applications, notably in the era of big data and IoT devices. In the …

The energy demanding nature of deep learning (DL) has fueled the immense attention for
neuromorphic architectures due to their ability to operate in a very high frequencies in a very …

We demonstrate an integrated opto-electronic (ΟΕ) device that can be programmed to
provide a set of nonlinear activation functions (AFs) and present its operation within …

While the use of graphic processing units fueled the success of artificial intelligence models,
their future evolution will likely require overcoming the speed and energy efficiency …

This special issue covers works that lie at the interface between machine learning,
spearheaded by the computing power of artificial neural networks (NN), and photonic …