Controlling electromagnetic waves and information simultaneously by information
metasurfaces is of central importance in modern society. Intelligent metasurfaces are smart …

Artificial intelligence tasks across numerous applications require accelerators for fast and
low-power execution. Optical computing systems may be able to meet these domain-specific …

The ability to present three-dimensional (3D) scenes with continuous depth sensation has a
profound impact on virtual and augmented reality, human–computer interaction, education …

Recent years have seen the rapid growth and development of the field of smart photonics,
where machine-learning algorithms are being matched to optical systems to add new …

Holographic displays promise unprecedented capabilities for direct-view displays as well as
virtual and augmented reality applications. However, one of the biggest challenges for …

Recent work in machine learning shows that deep neural networks can be used to solve a
wide variety of inverse problems arising in computational imaging. We explore the central …

Optical imaging is commonly used for both scientific and technological applications across
industry and academia. In image sensing, a measurement, such as of an object's position or …

When it comes to “phase measurement” or “quantitative phase imaging”, many people will
automatically connect them with “laser” and “interferometry”. Indeed, conventional …

Fringe projection profilometry is widely used for three-dimensional (3D) measurements.
System calibration is crucial to fringe projection systems, since it determines how the phase …

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