Many exciting terahertz imaging applications, such as non-destructive evaluation,
biomedical diagnosis, and security screening, have been historically limited in practical …

A dynamic convergence between metaphotonics and artificial intelligence (AI) is underway.
In this review, AI is conceptualized as a tool for mapping input and output data. From this …

Nonlinear encoding of optical information can be achieved using various forms of data
representation. Here, we analyze the performances of different nonlinear information …

The all‐optical diffractive deep neural networks (D2NNs) framework as a hardware platform
is demonstrated to implement various advanced functional meta‐devices with high …

All-optical diffractive neural networks, as analog artificial intelligence accelerators, leverage
parallelism and analog computation for complex data processing. However, their low space …

Diffractive deep neural networks (D2NNs) are composed of successive transmissive layers
optimized using supervised deep learning to all-optically implement various computational …

Polarization imaging, which provides multidimensional information beyond traditional
intensity imaging, has prominent advantages for complex imaging tasks, particularly in …

As a successful case of combining deep learning with photonics, the research on optical
machine learning has recently undergone rapid development. Among various optical …

Large‐scale and high‐dimensional permutation operations are important for various
applications in, for example, telecommunications and encryption. Here, all‐optical diffractive …

In this paper, we present a detector-integrated vertical-cavity surface-emitting laser (VCSEL)
with a movable high-contrast grating (HCG) mirror in an nipin manner. The detector …