Research in photonic computing has flourished due to the proliferation of optoelectronic
components on photonic integration platforms. Photonic integrated circuits have enabled …

The simultaneous advances in artificial neural networks and photonic integration
technologies have spurred extensive research in optical computing and optical neural …

Photonic neural networks perform brain-inspired computations using photons instead of
electrons to achieve substantially improved computing performance. However, existing …

We present an adaptive optical neural network based on a large-scale event-driven
architecture. In addition to changing the synaptic weights (synaptic plasticity), the optical …

Training an artificial neural network with backpropagation algorithms to perform advanced
machine learning tasks requires an extensive computational process. This paper proposes …

Deep learning has led to unprecedented successes in solving some very difficult problems
in domains such as computer vision, natural language processing, and general pattern …

We propose computing primitive for an all-optical spiking neural network (SNN) based on
vertical-cavity surface-emitting lasers (VCSELs) for supervised learning by using biologically …

We propose a photonic spiking neural network (SNN) consisting of photonic spiking neurons
based on vertical-cavity surface-emitting lasers (VCSELs). The photonic spike timing …

Ever‐growing demands of bandwidth, computing speed, and power consumption are now
accelerating the transformation of computing research, as work‐at‐home becomes a new …

Photonic realizations of neural network computing hardware are a promising approach to
enable future scalability of neuromorphic computing. The number of special purpose …