Graph theory analysis, a mathematical approach, has been applied in brain connectivity studies to explore the organization of network patterns. The computation of graph theory metrics enables the ...

Context engineering—the art of shaping the data, metadata, and relationships that feed AI—may become the most critical ...

Security graphs are becoming indispensable for understanding system access and network activity and empowering security teams ...

Clustering is the process of using heuristic to link together individual UTXOs that are controlled by a single wallet. It is ...

Researchers at the Carney Institute for Brain Science spill the tea about the complicated mental computations that allow ...

Using the analogy of the interconnected neural pathways in the brain, network leadership is about harnessing connections to ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

This useful study presents a biologically realistic, large-scale cortical model of the rat's non-barrel somatosensory cortex, investigating synaptic plasticity of excitatory connections under varying ...

The purpose of this study is to apply graph convolutional networks (GCNs) for feature extraction and classification of patients with autism spectrum disorder (ASD). The number of people with (ASD) ...