Engineers have long battled a problem that can cause loud, damaging oscillations inside gas turbines and aircraft engines: ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

Modern neuroscience understands the brain as a set of specialized systems. Aspects of brain function such as attention, ...

Abstract: This paper investigates a GraphRAG framework that integrates knowledge graphs into the Retrieval-Augmented Generation (RAG) architecture to enhance networking applications. While RAG has ...

Sometimes, a small error in the sequence of DNA can lead to a very serious disease. Scientists have identified many mutations that arise in a single gene to cause an ...

SALEM, Ore. (KATU) — The Oregon Department of Justice (DOJ) unveiled a new statewide strategy aimed at tackling complex criminal organizations through a first-of-its-kind partnership with Washington ...

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

IBM is rolling out a new AI-powered cloud service designed to help companies get a better grip on their increasingly messy networks. IT environments are becoming harder to manage, as networks comprise ...

IBM Network Intelligence uses AI to gather network telemetry and agents to help with reasoning, root-cause analysis and remediation. IBM has rolled out a cloud-based AI service that can help ...

Traditionally, chemical reactions have been described as one-line “equations” in which substrates, say A and B, convert purposefully but rigidly into a desired product, say C. Naturally, it has been ...