A comprehensive literature survey reveals how artificial intelligence and machine learning architectures overcome the error floors and pilot scarcity that ...
Researchers have developed a dual-domain deep learning network that accurately classifies electroencephalogram artifacts while distinguishing routine movements from diagnostic temporal ...
A brain-inspired vision system combining eye-tracking supervision, Kalman state estimation and cross-frame attention improved saliency prediction, target tracking and scene ...
A narrative review finds that airway AI must preserve branching anatomy, generalize across institutions and demonstrate clinical utility rather than ...
A sine-guided Transformer–CNN network significantly outperformed 21 comparison methods on three benchmark datasets for salient-object detection in optical remote-sensing imagery.
The Chatbot Era Is Ending: New Survey Maps the Rise—and the Blind Spots—of Agentic AI The chatbot era is quietly ...
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