Nature

The thin line for optical neural networks towards broad practical relevance

Optical neural networks promise unmatched efficiency, bandwidth, and latency — critical benefits as demand for neural network hardware surges. However, their practical value for general-purpose ...
IEEE

Solving Human–Robot Collaborative Circular Disassembly Line Balancing Problem via Graph Neural Network-Enhanced Proximal Policy Optimization Algorithm

Abstract: Industry 5.0 promotes the transformation of manufacturing toward flexibility, personalization, and sustainability. As a critical component of closed-loop manufacturing systems, disassembly ...
Nature

Orbital angular momentum multiplexing diffractive neural networks for high-capacity optical inference

Deep diffractive neural networks have emerged as an all-optical computing paradigm that overcomes the bottlenecks of traditional electronic computing. However, traditional deep diffractive neural ...
IEEE

Physics-informed Neural Network for Real-time Imaging and Evaluation of Defect Based on High-definition ACFM Probe

Abstract: Defects reduce the bearing capacity of underwater structures. The determination of defect size provides guidance for underwater structure safety assessment and maintenance. Alternating ...