To protect private information stored in text embeddings, it’s essential to de-identify the text before embedding and storing it in a vector database. In this article, we'll demonstrate how to ...

Collate, Inc., the semantic intelligence company, is introducing powerful capabilities that give AI agents and other AI workflows a deep semantic understanding of enterprise data assets, relationships ...

Abstract: For autonomous aerial vehicles (AAV)-assisted integrated sensing and communication (ISAC) systems, a semantic-based channel state information (CSI) feedback scheme is proposed in this ...

How does meaning arise from matter? This is Part 2 of a four-part series exploring how the brain generates meaning. In Part 1, I argued that meaning emerges from relations among neural patterns, ...

According to @godofprompt, graph databases offer superior efficiency for dynamic updates in AI-powered knowledge bases compared to traditional vector search methods. When using vector search, any ...

As organisations scale their AI driven data operations, the challenge is no longer just accessing data, it’s understanding what the data actually means in teams, systems, and use cases. Databases are ...

Reference Point A (1,1,1,1) represents perfect divine harmony. Every concept's "divine alignment" is its distance from this anchor.

On Wednesday, Wikimedia Deutschland announced a new database that will make Wikipedia’s wealth of knowledge more accessible to AI models. Called the Wikidata Embedding Project, the system applies a ...