Structured optical materials create new computing paradigms using photons, with
transformative impact on various fields, including machine learning, computer vision …

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

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

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 …

Multispectral imaging has been used for numerous applications in eg, environmental
monitoring, aerospace, defense, and biomedicine. Here, we present a diffractive optical …

Under spatially coherent light, a diffractive optical network composed of structured surfaces
can be designed to perform any arbitrary complex-valued linear transformation between its …

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

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

Terahertz waves offer advantages for nondestructive detection of hidden objects/defects in
materials, as they can penetrate most optically-opaque materials. However, existing …

Classification of an object behind a random and unknown scattering medium sets a
challenging task for computational imaging and machine vision fields. Recent deep learning …