Intelligent metasurfaces: control, communication and computing
Controlling electromagnetic waves and information simultaneously by information
metasurfaces is of central importance in modern society. Intelligent metasurfaces are smart …
metasurfaces is of central importance in modern society. Intelligent metasurfaces are smart …
Inference in artificial intelligence with deep optics and photonics
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 …
low-power execution. Optical computing systems may be able to meet these domain-specific …
Towards real-time photorealistic 3D holography with deep neural networks
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 …
profound impact on virtual and augmented reality, human–computer interaction, education …
Deep learning techniques for inverse problems in imaging
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 …
wide variety of inverse problems arising in computational imaging. We explore the central …
Image sensing with multilayer nonlinear optical neural networks
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 …
industry and academia. In image sensing, a measurement, such as of an object's position or …
Neural nano-optics for high-quality thin lens imaging
Nano-optic imagers that modulate light at sub-wavelength scales could enable new
applications in diverse domains ranging from robotics to medicine. Although metasurface …
applications in diverse domains ranging from robotics to medicine. Although metasurface …
Direct retrieval of Zernike-based pupil functions using integrated diffractive deep neural networks
Retrieving the pupil phase of a beam path is a central problem for optical systems across
scales, from telescopes, where the phase information allows for aberration correction, to the …
scales, from telescopes, where the phase information allows for aberration correction, to the …
[HTML][HTML] Inverse design enables large-scale high-performance meta-optics resha** virtual reality
Meta-optics has achieved major breakthroughs in the past decade; however, conventional
forward design faces challenges as functionality complexity and device size scale up …
forward design faces challenges as functionality complexity and device size scale up …
DeepSTORM3D: dense 3D localization microscopy and PSF design by deep learning
An outstanding challenge in single-molecule localization microscopy is the accurate and
precise localization of individual point emitters in three dimensions in densely labeled …
precise localization of individual point emitters in three dimensions in densely labeled …
Review on panoramic imaging and its applications in scene understanding
With the rapid development of high-speed communication and artificial intelligence
technologies, human perception of real-world scenes is no longer limited to the use of small …
technologies, human perception of real-world scenes is no longer limited to the use of small …