LLMs still rely on search, shifting SEO from head terms to the long tail. Here’s how to use AI to uncover real customer questions and win.

T-REX was created in response to requests to be able to easily link phylogenetic and phenotypic information together and yield insights from this. This package consists of a GUI-enabled phylogenetic ...

In a modern enterprise data environment, the increasing volume of data, distributed architecture, and complex application dependencies challenge traditional query-tuning methods. Observability ...

Google rolled out an iterative update to AI Mode AI Mode now handles complex STEM questions and delivers more concise responses. The update arrives as students return to school. Google says AI Mode ...

Have you ever found yourself staring at a spinning wheel, waiting for your Power Query to refresh, only to wonder if there’s a better way? For anyone working with large datasets, refresh delays aren’t ...

What are “near me” searches and why do they matter? “Near me” searches are high-intent, proximity-driven queries that include language like “near me” or “nearby” to land local search results. For ...

ABSTRACT: This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in modern work environments that require processing large amounts of ...

My husband has an infuriating habit of parking in spaces reserved for people with disabilities. He knows better than to try it when I’m with him, but I can’t control what he does when he’s by himself, ...

Abstract: This paper describes an implementation of Kruskal's algorithm in query optimization process for generation of a near optimal execution query tree. The open source Post- greSQL DBMS was used ...

Describes concepts and architecture of query processing and document retrieval for full text search, as implemented Azure AI Search. Full text search is an approach in information retrieval that ...