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 ...

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 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 ...

Abstract: Space-air-ground integrated networks (SAGINs) are emerging as a fundamental architecture for 6G systems to enable massive connectivity, novel applications, extreme data rates, ultra-low ...