Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting expertise.From neural networks to N ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
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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 ...
New memristor-based artificial neurons emit light to enable denser, more efficient 3D AI chips, pointing to a future beyond ...
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...
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.
The YOLOv8 and Swin Transformer dual-module system significantly improves structural crack detection, offering a faster and ...
Nikkhil K Masurkar Wednesday, January 14, 2026, 08:00 Hrs [IST] Myopia is a widespread vision issue affecting over two ...
Purdue University has once again earned national recognition for its longstanding commitment to partnering with communities by way of the 2026 Carnegie Community ...
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