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Graph-Based AI Predicts Cyber Attacks and Trajectories in Real Time
ToM, a graph-based model that predicts cyber attackers' targets and strategies, enhancing real-time defense in complex ...
IEEE11d
Unveiling Agents’ Confidence in Opinion Dynamics Models via Graph Neural Networks
In this work, we propose an alternative approach using graph neural networks to infer agent-level confidence thresholds in the opinion dynamics of the Hegselmann-Krause model of bounded ... includes ...
Study suggests how brain, with sleep, learns meaningful maps of spaces
Place cells are well known to encode individual locations, but new experiments and analysis indicate that stitching together ...
Neuroscience News12d
How Sleep Shapes Our Brain’s Mental Navigational Maps
A new study reveals how the brain forms cohesive mental maps of spaces and highlights the critical role of sleep in this process.
Frontiers11d
3D convolutional neural network based on spatial-spectral feature pictures learning for decoding motor imagery EEG signal
By selecting appropriate frequencies and electrode spatial topology and combining ... of features at various stages of the model’s processing layers. This study proposes a Pseudo-3D Convolutional ...
MIT Technology Review2d
The next generation of neural networks could live in hardware
Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ ...