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

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

The number of sensor nodes in the Internet of Things is growing rapidly, leading to a large
volume of data generated at sensory terminals. Frequent data transfer between the sensors …

Replacing electrons with photons is a compelling route toward high-speed, massively
parallel, and low-power artificial intelligence computing. Recently, diffractive networks …

Neuromorphic photonics has recently emerged as a promising hardware accelerator, with
significant potential speed and energy advantages over digital electronics for machine …

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

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 …

There has been recent interest in neuromorphic photonics, a field with the promise to access
pivotal and unexplored regimes of machine intelligence. Progress has been made on …

Recent advances in machine learning (ML) offer new tools to extract new insights from large
data sets and to acquire small data sets more effectively. Researchers in nanoscience are …

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 …