Nanophotonic devices, such as metasurfaces and silicon photonic components, have been
progressively demonstrated to be efficient and versatile alternatives to their bulky …

Optical computing and optical neural network have gained increasing attention in recent
years because of their potential advantages of parallel processing at the speed of light and …

Signal processing is of critical importance for various science and technology fields. Analog
optical processing can provide an effective solution to perform large-scale and real-time …

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) …

In this paper, a novel strategy based on a metasurface composed of simple and compact
unit cells to achieve ultra-high-speed trigonometric operations under specific input values is …

Current optical differentiators are generally limited to realizing a single differential function
once fabricated. Herein, a minimalist strategy in designing multiplexed differentiators (1st …

Brain‐inspired optical neural computing (ONC) is the state‐of‐the‐art scheme in modern
computing, offering robust strategies to execute advanced inference with a high throughput …

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 …

The explosive growth in computation and energy cost of artificial intelligence has spurred
interest in alternative computing modalities to conventional electronic processors. Photonic …

This review presents an overview of the current state‐of‐the‐art in photonics computing,
which leverages photons, photons coupled with matter, and optics‐related technologies for …