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 ...

Over the past decades, computer scientists have developed increasingly advanced artificial intelligence (AI) systems that ...

Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...

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, ...

Neural circuits in the brain are highly sophisticated biological systems, orchestrating ultra-fast, parallel computations ...

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 ...

New research published in Scientific Reports provides evidence that the path from genetic predisposition to general ...

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 ...

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 ...

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 ...