Crucially, detection and response must be unified across identity and data layers. An alert about unusual data access is meaningless if it is not correlated with identity risk signals. Autonomous ...

Accurate smartphone positioning in dense urban environments remains challenging due to signal blockage, multipath effects, and unreliable satellite visibility. This study presents a new positioning ...

A new research paper was published in Volume 17, Issue 11 of Aging-US on November 26, 2025, titled “Epigenetic aging ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

The rise of artificial intelligence has affected many facets of society, including education. Writer Abby Moore explores how ...

In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...

Researchers at Carnegie Mellon University hope an AI-driven speech reconstruction tool can bridge the gap between a growing ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

Superconductors sit at the heart of some of the most ambitious technologies on the horizon, from lossless power grids to ...

See how AI and machine learning are transforming people search accuracy. Learn how ML improves precision and recall, powers ...

Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...

Graph Neural Networks (GNNs) are reshaping AI by enhancing data interpretation and improving applications. Learn how GNNs are crucial in advancing machine learning models. Graph Neural Networks (GNNs) ...