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

Recently, there has been tremendous interest in excitable optoelectronic devices and in
particular excitable semiconductor lasers that could potentially enable unconventional …

Optical neural networks (ONNs), or optical neuromorphic hardware accelerators, have the
potential to dramatically enhance the computing power and energy efficiency of mainstream …

Neuromorphic computing has come to refer to a variety of brain-inspired computers, devices,
and models that contrast the pervasive von Neumann computer architecture. This …

We present an all-optical neuron that utilizes a logistic sigmoid activation function, using a
Wavelength-Division Multiplexing (WDM) input & weighting scheme. The activation function …

This book sets out to build bridges between the domains of photonic device physics and
neural networks, providing a comprehensive overview of the emerging field of" …

Photonic neuromorphic computing is raising a growing interest as it promises to provide
massive parallelism and low power consumption. In this paper, we demonstrate for the first …

We propose an original design for a neuron-inspired photonic computational primitive for a
large-scale, ultrafast cognitive computing platform. The laser exhibits excitability and …

We survey recent progress in the use of analog memory devices to build neuromorphic
hardware accelerators for deep learning applications. After an overview of deep learning …

As society's appetite for information continues to grow, so does our need to process this
information with increasing speed and versatility. Many believe that the one-size-fits-all …