Graph level anomaly detection (GLAD) aims to spot anomalous graphs that structure pattern and feature information are different from most normal graphs in a graph set, which is rarely studied by other ...

The relentless growth of the Internet of Things has transformed ordinary environments into vast webs of interconnected ...

Graph neural networks (GNNs) are a type of neural network architecture and deep learning method that can help users analyze graphs, enabling them to make predictions based on the data described by a ...

Graph neural networks have quietly become the workhorses of some of the most security-sensitive corners of modern computing.

Alterion today announced Helix, the intelligence layer powering its runtime control plane for the agentic enterprise. Helix ...

A recent TM Forum survey of 128 communication service providers (CSPs) about their business and technology strategies to scale AI adoption highlighted the importance of digital twins in network ...

A network of specialized small language models and graph neural intelligence gives enterprises real-time understanding of AI agent intent, behavior, and risk. SAN FRANCISCO, Sept. 18, 2026 — Alterion ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Machine learning and neural networks are two common terms in AI -- but what do they mean, and how do they differ? What exactly is machine learning? Machine learning is a subset of AI. ML uses an ...

What is actually happening when a neural network learns?You type model.fit() and it works. But honestly, it's hard to know ...