Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to partly emulate the functioning and structure of biological neural networks. As a ...

While artificial intelligence (AI) holds promise to improve the diagnosis of melanoma, researchers of a new review outlined ...

A research team led by the University of Aberdeen has developed a pioneering AI model to improve accuracy and reduce ...

Parkinson’s disease, the second most common neurodegenerative disorder globally, is often associated with vocal impairments, ...

The dataset used was a widely known credit card fraud detection benchmark obtained from Kaggle. It is notoriously imbalanced, ...

Digital finance is accelerating, and threats are evolving in complexity, outpacing traditional methods for detecting fraud.

Art authentication is no longer just about the trained eye—it’s now a high-stakes blend of science, history, and cutting-edge technology. With millions of dollars and the reputations of museums and ...

The graph neural network (GNN) exhibits noteworthy performance in hyperspectral image classification (HSIC) due to its efficient message-passing structure, which employs the multilayer perceptron (MLP ...

While humans concentrate on the meaning of objects, artificial intelligence focuses on visual characteristics.