The dominant narrative about AI reliability is simple: models hallucinate. Therefore, for companies to get the most utility ...

Abstract: This paper proposes a spatio-temporal graph convolutional network incorporating knowledge graph embeddings for hydrological time series prediction. A knowledge graph is constructed to ...

Abstract: Health status (HS) assessment has important scientific significance and practical value to ensure safe equipment operation and reduce maintenance costs. Graph neural network-based methods ...

For years, SEOs optimized pages around keywords. But Google now understands meaning through entities and how they relate to one another: people, products, concepts, and their topical connections ...

AI agent fervor has permeated the software development world. But, we’re no longer talking about a singular, all-knowing AI. Rather, emerging agentic workflows rely on multiple specialized agents ...

SymphonyAI’s IRIS Foundry on Microsoft Azure Integrates with NVIDIA Omniverse Libraries to Enable Real-Time 3D Simulation and Visualization for Industrial Operations With Microsoft Azure and NVIDIA ...

Experts warn that resumption of full nuclear weapons tests is unnecessary and would undermine the United States' efforts to discourage other nations from testing their own nukes. (Tech. Sgt. Draeke ...

What if you could transform overwhelming, disconnected datasets into a living, breathing map of relationships, one that not only organizes your data but also reveals insights you didn’t even know you ...