Abstract: Deep neural network (DNN)-based inversion of ground penetrating radar (GPR) data is gaining significant attention, primarily using simulated data for training due to the lack of ground truth ...

A.I. expert Sheldon Fernandez analyzes how generative tools are shaping young, formative minds, arguing that the real risk is not exposure to new technology, but the premature outsourcing of ...

Published as an arXiv preprint, the paper details how unsupervised and self-supervised AI models are matching or surpassing supervised systems while uncovering biological patterns that traditional ...

Physical artificial intelligence (PAI) is the application of AI and machine learning (ML) algorithms to enable autonomous ...

AI transforms digital wallets from transaction processors into intelligent systems. Instead of enforcing fixed rules, machine learning models evaluate context like user behavior, device ...

Lesion morphology and quantity evaluation in computer tomography (CT) images are critical for precise disease diagnosis. Most existing methods employ machine learning-based methods to separately ...