Intelligent metasurfaces: control, communication and computing

L Li, H Zhao, C Liu, L Li, TJ Cui - Elight, 2022 - Springer
Controlling electromagnetic waves and information simultaneously by information
metasurfaces is of central importance in modern society. Intelligent metasurfaces are smart …

Inference in artificial intelligence with deep optics and photonics

G Wetzstein, A Ozcan, S Gigan, S Fan, D Englund… - Nature, 2020 - nature.com
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 …

Towards real-time photorealistic 3D holography with deep neural networks

L Shi, B Li, C Kim, P Kellnhofer, W Matusik - Nature, 2021 - nature.com
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 …

Deep learning techniques for inverse problems in imaging

G Ongie, A Jalal, CA Metzler… - IEEE Journal on …, 2020 - ieeexplore.ieee.org
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 …

Image sensing with multilayer nonlinear optical neural networks

T Wang, MM Sohoni, LG Wright, MM Stein, SY Ma… - Nature …, 2023 - nature.com
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 …

Neural nano-optics for high-quality thin lens imaging

E Tseng, S Colburn, J Whitehead, L Huang… - Nature …, 2021 - nature.com
Nano-optic imagers that modulate light at sub-wavelength scales could enable new
applications in diverse domains ranging from robotics to medicine. Although metasurface …

Direct retrieval of Zernike-based pupil functions using integrated diffractive deep neural networks

E Goi, S Schoenhardt, M Gu - Nature Communications, 2022 - nature.com
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 …

[HTML][HTML] Inverse design enables large-scale high-performance meta-optics reshaping virtual reality

Z Li, R Pestourie, JS Park, YW Huang… - Nature …, 2022 - nature.com
Meta-optics has achieved major breakthroughs in the past decade; however, conventional
forward design faces challenges as functionality complexity and device size scale up …

DeepSTORM3D: dense 3D localization microscopy and PSF design by deep learning

E Nehme, D Freedman, R Gordon, B Ferdman… - Nature …, 2020 - nature.com
An outstanding challenge in single-molecule localization microscopy is the accurate and
precise localization of individual point emitters in three dimensions in densely labeled …

Review on panoramic imaging and its applications in scene understanding

S Gao, K Yang, H Shi, K Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …