With the advent of the era of big data, artificial intelligence has attracted continuous attention
from all walks of life, and has been widely used in medical image analysis, molecular and …

Optical neural network can process information in parallel by using the technology based on
free-space and integrated platform. Over the last half century, the development of integrated …

We introduce an electro-optic hardware platform for nonlinear activation functions in optical
neural networks. The optical-to-optical nonlinearity operates by converting a small portion of …

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

Recently, integrated optics has become a functional platform for implementing machine
learning algorithms and, in particular, neural networks. Photonic integrated circuits can …

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 …

With the recent successes of neural networks (NN) to perform machine-learning tasks,
photonic-based NN designs may enable high throughput and low power neuromorphic …

Recent advances in neuromorphic computing have established a computational framework
that removes the processor-memory bottleneck evident in traditional von Neumann …

Deep learning is revolutionizing many aspects of our society, addressing a wide variety of
decision-making tasks, from image classification to autonomous vehicle control. Matrix …

Deep learning has been revolutionizing information processing in many fields of science
and engineering owing to the massively growing amounts of data and the advances in deep …