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

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

Complex systems may work better when their parts are not perfectly alike. Northwestern physicists found that carefully ...

This research presents a graph neural network for predicting qubit routing costs in fault-tolerant quantum architectures.

In a groundbreaking development within the realm of mathematics, two mathematicians in 2004 laid the foundation for what has come to be known as the sandwich ...

Scientists have developed a system that can estimate the magnitude and location of a major earthquake almost immediately ...

In 2004, two mathematicians hypothesized a powerful kind of sandwich. They were studying graphs, which are collections of points (called vertices) and lines (called edges). Graphs might represent ...

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 ...

Perfection is overrated—at least when it comes to complex systems like the power grid, food webs and advanced materials. For decades, scientists generally assumed that networks function most reliably ...

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

Malicious JavaScript campaigns on e-commerce storefronts evaded VirusTotal in 7 of 8 cases, exposing a structural gap in signature-based scanning. Cloudflare's graph neural network caught all eight ...

What happens when a simulation that directly mimics a biological brain's circuitry is handed control of a real financial market? In September 2026, open-source developer Alex Wormuth released Stonkfly ...