Self‑healing nanocomposites capable of operating under sub‑ambient aerospace conditions remain limited by slow reaction kinetics, single‑stimulus activation, and insufficient predictive control. In this work, we develop a multi‑stimuli and AI‑guided ... read more
Early diagnosis of Alzheimer's disease (AD) is crucial for timely intervention but remains challenging due to subtle and heterogeneous brain alterations, particularly in the mild cognitive impairment (MCI) stage. To address this issue, we propose a p... read more
Hyperspectral image classification has become a pivotal task in remote sensing data processing. However, current deep learning-based methods still face challenges in effectively extracting discriminative joint spatial-spectral features, especially wh... read more
Printed Circuit Boards (PCBs) pose significant challenges for defect detection due to their complex textures, small defect targets, and subtle inter-class similarities. Traditional inspection methods are limited in robustness, while many deep learnin... read more
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.