Love it or loathe it, AI is reshaping engineering, and the winners will be those who learn to work alongside it.

Abstract: Face forgery detection suffers from cross-dataset generalization challenges, where performance degradation occurs due to distribution shifts between training and testing data. Recently, ...

Abstract: This study addresses the challenges of high latency, missed detections in high-coverage and multi-target face scenarios, and inefficiencies in traditional face recognition algorithms under ...

Studies by the National Institute of Standards and Technology (NIST) show that many commercial facial recognition algorithms have significantly higher error rates for ...

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SPRINGFIELD — Prior to her death from lung cancer in 2025, Springfield attorney Amy Keil Schmidt emphasized the importance of early detection of the disease in a social media post: If caught at Stage ...