As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
Artificial intelligence (AI) is shaping the future of health care, offering new tools for earlier diagnosis of disease and more precise tracking of treatment outcomes. In a new Yale-led study, ...
Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...
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'Bridge doctor' combines imaging, neural network to efficiently evaluate concrete bridges' safety
Necati Catbas collaborated with his former civil engineering student Marwan Debees, Ph.D., who now works as a NASA Bridge Program manager, on research that details how infrared thermography, ...
The ability to analyze the brain's neural connectivity is emerging as a key foundation for brain-computer interface (BCI) technologies, such as controlling artificial limbs and enhancing human ...
Neural circuits in the brain are highly sophisticated biological systems, orchestrating ultra-fast, parallel computations ...
From tropical forests to coastal reserves, destinations built around natural heritage are facing mounting pressure to manage tourism more precisely. The pandemic disrupted visitor flows and revealed ...
Necati Catbas doesn’t hold a medical degree, but the UCF engineering professor is more than qualified to diagnose the health of bridges using a combination of emerging technologies. Catbas ...
New research details how infrared thermography, high-definition imaging and neural network analysis can combine to make concrete bridge inspections more efficient. Researchers are hopeful that their ...
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