Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and ...

Active vision dynamically refines spatiotemporal neural representations, optimising visual processing through scanning behaviour and non-associative learning, providing insights into efficient sensory ...

Hu, J.S., Chen, Q.Y. and Yu, T.X. (2025) Emotion Regulation and Depression Symptoms among Chinese Adolescents: The Sequential Mediation Effect of Social Anxiety and Loneliness. Open Journal of Social ...

Long Short-Term Memory (LSTM) networks are particularly useful in recommender systems since user preferences change over time. Unlike traditional recommender models which assume static user-item ...

In 1982 physicist John Hopfield translated this theoretical neuroscience concept into the artificial intelligence realm, with the formulation of the Hopfield network. In doing so, not only did he ...

Energy and memory: A new neural network paradigm A dynamic energy landscape is at the heart of theorists' new model of memory retrieval Date: May 14, 2025 Source: University of California - Santa ...

In this study, a deep convolutional neural network (CNN) architecture is proposed for AD classification. The model, consisting of 6,026,324 parameters, uses three distinct convolutional branches with ...

Graph Neural Networks (GNNs) have gained traction in Graph-based Machine Learning as a Service (GMLaaS) platforms, yet they remain vulnerable to graph-based model extraction attacks (MEAs), where ...