As AI continues to advance, infrastructure must evolve to enable access and delivery of real-time information at scale.

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

Jeongho Park, engineer at GraphAI and second author; Donghyoung Han, CTO of GraphAI and third author; Geonho Lee ...

Artificial Intelligence (AI) agents based on Retrieval-Augmented Generation (RAG) technology are rapidly proliferating. RAG ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination" — the generation of ...

Abstract: Feature representation and augmentation are central factors for improving predictive accuracy of the prediction model, particularly in domains constrained by limited data availability such ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Over the past few years, the AI market has been dominated by models built for unstructured ...

The company said on Tuesday that it was holding back on releasing the new technology but was working with 40 companies to explore how it could prevent cyberattacks. By Kevin Roose Reporting from San ...

High entropy alloys (HEAs) represent a promising area in materials science, but systematic analysis of the extensive literature remains a challenge. In this study, we used Natural Language Processing ...

Washington-based Starcloud launched a satellite with an Nvidia H100 graphics processing unit in early November, sending a chip into outer space that's 100 times more powerful than any GPU compute that ...

A Data Model in Database Management System (DBMS) is the concept of tools that are developed to summarize the description of the database. Data Models provide us with a transparent picture of data ...