Optical neural networks: progress and challenges

T Fu, J Zhang, R Sun, Y Huang, W Xu, S Yang… - Light: Science & …, 2024 - nature.com
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 …

Integrated photonic tensor processing unit for a matrix multiply: a review

N Peserico, BJ Shastri, VJ Sorger - Journal of Lightwave Technology, 2023 - opg.optica.org
The explosion of artificial intelligence and machine-learning algorithms, connected to the
exponential growth of the exchanged data, is driving a search for novel application-specific …

Multimodal deep learning using on-chip diffractive optics with in situ training capability

J Cheng, C Huang, J Zhang, B Wu, W Zhang… - Nature …, 2024 - nature.com
Multimodal deep learning plays a pivotal role in supporting the processing and learning of
diverse data types within the realm of artificial intelligence generated content (AIGC) …

A perspective on the artificial intelligence's transformative role in advancing diffractive optics

SN Khonina, NL Kazanskiy, AR Efimov, AV Nikonorov… - iscience, 2024 - cell.com
Artificial intelligence (AI) is transforming diffractive optics development through its advanced
capabilities in design optimization, pattern generation, fabrication enhancement …

Hybrid photonic integrated circuits for neuromorphic computing

R Xu, S Taheriniya, AP Ovvyan, JR Bankwitz… - Optical Materials …, 2023 - opg.optica.org
The burgeoning of artificial intelligence has brought great convenience to people's lives as
large-scale computational models have emerged. Artificial intelligence-related applications …

Photonic neural networks and optics-informed deep learning fundamentals

A Tsakyridis, M Moralis-Pegios, G Giamougiannis… - APL Photonics, 2024 - pubs.aip.org
The recent explosive compute growth, mainly fueled by the boost of artificial intelligence (AI)
and deep neural networks (DNNs), is currently instigating the demand for a novel computing …

Human emotion recognition with a microcomb-enabled integrated optical neural network

J Cheng, Y **e, Y Liu, J Song, X Liu, Z He, W Zhang… - …, 2023 - degruyter.com
State-of-the-art deep learning models can converse and interact with humans by
understanding their emotions, but the exponential increase in model parameters has …

Orbital angular momentum multiplexing holography based on multiple polarization channel metasurface

Y Wang, Z Yao, Z Cui, G Sun, D Zhang - Nanophotonics, 2023 - degruyter.com
As a high-degree-of-freedom approach to manipulate the electromagnetic wave,
metasurfaces are widely used in high-capacity information technology. Extensive …

Multidimensional Fiber‐to‐Chip Optical Processing Using Photonic Integrated Circuits

Y Wan, X Cao, C Cai, K Li, M Yang… - Laser & Photonics …, 2024 - Wiley Online Library
Multidimensional multiplexing technologies have been proven to be a promising scheme to
meet the demands of high‐capacity optical interconnects and optical processing networks …

[HTML][HTML] Scalable wavelength-multiplexing photonic reservoir computing

RQ Li, YW Shen, BD Lin, J Yu, X He, C Wang - APL Machine Learning, 2023 - pubs.aip.org
Photonic reservoir computing (PRC) is a special hardware recurrent neural network, which
is featured with fast training speed and low training cost. This work shows a wavelength …