Light can be sculpted into countless shapes. Yet building optical devices that can simultaneously manipulate many different ...
Advancements in quantum imaging are transforming scientific research, offering unprecedented resolution and sensitivity for ...
The proposed optical computing chip enables high-speed, parallel processing for quantitative trading with unprecedented low latency, accelerating the crucial and demanding step of feature extraction.
A research team from Tsinghua University has developed an optical computing system that dramatically reduces latency in feature extraction - one of the most critical stages in real-time data ...
Many modern artificial intelligence (AI) applications, such as surgical robotics and real-time financial trading, depend on the ability to quickly extract key features from streams of raw data. This ...
Abstract: As semiconductor manufacturing approaches the diffraction limit of lithography, traditional model-based optical proximity correction (MBOPC) techniques face accuracy bottlenecks due to ...
Abstract: Improving spatial resolution is essential for enhancing imaging results. However, optical imaging faces key constraints that affect image quality and resolution. This study analyzes the ...
High-precision alignment between the microlens array and the fiber-positioning microplate is of great significance in developing fiber-based integrated field units (IFU). In this paper, we propose a ...
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