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Detection of concealed explosives using terahertz spectral imaging and deep learning
Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...
The YOLOv8 and Swin Transformer dual-module system significantly improves structural crack detection, offering a faster and ...
The optimized detection model is integrated into both a mobile application and a dedicated edge device, demonstrating that real-time waste detection can operate reliably without cloud connectivity.
Purdue University has once again earned national recognition for its longstanding commitment to partnering with communities by way of the 2026 Carnegie Community ...
Smartphone cameras are leaning hard on AI, but is it helping or hurting image quality? I look at why hardware still matters ...
An individual may become completely paralyzed because of any number of accidents that interfere with the functioning of the ...
Although there’s broad agreement that AI demands high-quality, well-governed data, the research indicates that AI inference ...
Features: High-performance computing is helping Space agencies and universities compress simulation cycles, train AI models faster, and enable more autonomous missions.
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