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 ...
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New light-emitting artificial neurons could run AI systems more reliably
Over the past decades, computer scientists have developed increasingly advanced artificial intelligence (AI) systems that ...
Neural circuits in the brain are highly sophisticated biological systems, orchestrating ultra-fast, parallel computations ...
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 suggests that the electrical complexity of the brain diminishes in early Alzheimer’s disease, potentially signaling a breakdown in the neural networks that support conscious awareness. By ...
For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...
Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...
The field of electrochemical sensing is undergoing transformative change as advances in nanotechnology and artificial intelligence (AI) come together to ...
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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