Elon Musk has claimed there is “far too much garbage” in the training data for his AI model Grok and wants to “rewrite the ...

Large language models (LLMs), such as the model underpinning the functioning of the well-known conversational platform ...

Data storytelling is not just a subset of reporting or a more polished presentation, but a method that involves narrative ...

This repository is a collection of reference implementations for the Model Context Protocol (MCP), as well as references ... controlled access to tools and data sources. Each MCP server is implemented ...

A recent organizational shift brought Ecolab’s commercial digital solutions group and IT teams together under a single banner ...

In a world where digital transformation is accelerating at an unprecedented pace, AI-driven data analytics has become the cornerstone of both cybersecurity and public safety innovation. As ...

The company didn’t reveal the source of the data it used to train the model, but some AI researchers speculate that at least a portion came from Google’s Gemini family of AI. Sam Paech ...

By using the power of knowledge graphs, GraphRAG provides a more nuanced and comprehensive understanding of the data. Implementing GraphRAG requires a combination of tools and technologies to ...

This is no longer a distant vision—it’s the promise of the Model Context ... use external tools, data, and APIs in real time, overcoming the limitations of static knowledge and restricted ...

An artificial-intelligence model did something last month that no machine was ever supposed to do: It rewrote its own code to avoid being shut down. Nonprofit AI lab Palisade Research gave OpenAI ...

In this paper, we present an mathematical approach for building knowledge model of operator. This model represents knowledge about the operators between objects. It includes three components: concepts ...