Matrix computation, as a fundamental building block of information processing in science
and technology, contributes most of the computational overheads in modern signal …

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

The explosive growth of deep learning applications has triggered a new era in computing
hardware, targeting the efficient deployment of multiply-and-accumulate operations. In this …

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 …

Neuromorphic photonics has experienced a recent surge of interest over the last few years,
promising orders of magnitude improvements in both speed and energy efficiency over …

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

摘要由于光传输具备高通量, 低延迟, 低能耗等优势, 光学神经网络有望应对目前人工智能技术
发展中所面临的能耗和计算效率的挑战, 成为近年来学术界和工业界的研究热点 …

Spiking neural networks enable efficient information processing in real-time. Excitable lasers
can exhibit ultrafast spiking dynamics, and when preceded by a photodetector in an O/E/O …

Coherent optics has profoundly impacted diverse applications ranging from
communications, LiDAR to quantum computations. However, developing coherent systems …

Neuromorphic photonics came to the fore promising neural networks (NNs) with orders of
magnitude higher computational speeds compared to electronic counterparts. In this …