Across the spectrum of scientific inquiry and practical applications, the emergence of
artificial intelligence (AI) and machine learning (ML) has comprehensively revolutionized …

The application of machine learning to the field of ultrafast photonics is becoming more and
more extensive. In this paper, for the automatic mode-locked operation in a saturable …

A spectrum series learning-based model is presented for mode-locked fiber laser state
searching and switching. The mode-locked operation search policy is obtained by our …

Background Scattering photons can seriously contaminate cone‐beam CT (CBCT) image
quality with severe artifacts and substantial degradation of CT value accuracy, which is a …

The connection between Maxwell's equations and neural networks opens unprecedented
opportunities at the interface between photonics and deep learning. This feature issue …

Self-interference (SI) due to signal leakage from a local transmitter is an issue in an in-band
full-duplex (IBFD) transmission system, which would cause severe distortions to a receiving …

Abstract The Monte Carlo method (MCM) is one of the most accurate methods for calculating
the optical characteristics of spatial targets. However, there are two limitations when using …

摘要超材料设计和光纤光束控制是光场调控研究的两个重要议题. 传统方法取得一定研究进展的
同时, 也面临着有效性和适应性的问题. 为弥补传统方法的不足, 研究者们尝试将深度学习方法 …

A stable speckle pattern is generated when a coherent beam illuminates a stationary
scattering medium that contains numerous scatterers with fixed positions. To date, there has …

Reinforcement learning (RL) refers to a type of machine learning technology that trains
software agents to achieve specific tasks through extensive and sequential interactions with …