Optical microcombs represent a new paradigm for generating laser frequency combs based
on compact chip-scale devices, which have underpinned many modern technological …

Computing is a critical driving force in the development of human civilization. In recent years,
we have witnessed the emergence of intelligent computing, a new computing paradigm that …

Abstract Machine learning technologies have been extensively applied in high-performance
information-processing fields. However, the computation rate of existing hardware is …

Deep learning has become a widespread tool in both science and industry. However,
continued progress is hampered by the rapid growth in energy costs of ever-larger deep …

Artificial intelligence has prevailed in all trades and professions due to the assistance of big
data resources, advanced algorithms, and high-performance electronic hardware. However …

Neural networks have enabled applications in artificial intelligence through machine
learning, and neuromorphic computing. Software implementations of neural networks on …

This tutorial–review on applications of artificial neural networks in photonics targets a broad
audience, ranging from optical research and engineering communities to computer science …

Scalable, high-capacity, and low-power computing architecture is the primary assurance for
increasingly manifold and large-scale machine learning tasks. Traditional electronic artificial …

Spatially-engineered diffractive surfaces have emerged as a powerful framework to control
light-matter interactions for statistical inference and the design of task-specific optical …

Optoelectronic neural networks (ONN) are a promising avenue in AI computing due to their
potential for parallelization, power efficiency, and speed. Diffractive neural networks, which …