Abstract: Knowledge graph reasoning (KGR) is an important task in data mining. It aims to mine the logical rules based on the existing facts and further infer new facts, which makes the graph complete ...

As cloud computing adoption accelerates across industries, organizations face mounting challenges securing sensitive data in distributed storage environments.

Abstract: Knowledge graph construction is aimed at storing and representing the knowledge of the objective world in a structured form. Existing methods for automatic construction of knowledge graphs ...

Fresh is a new take on the simple text editor. Fresh is what nano would be with mouse support. Fresh is free to use on Linux and MacOS. I've been a regular user of the nano text editor since its ...

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 ...

The rise of artificial intelligence has produced serial writers to science and medical journals, most likely using chatbots to boost the number of citations they’ve published. By Gina Kolata Letters ...

The figure depicts the four-step，Graph-based Retrieval - Augmented Generation (RAG) process for the RSA - KG system, which aims to integrate multimodal data for RSA diagnosis and treatment. Recurrent ...

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 ...

Jamie Q. Roberts does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...

A comprehensive plan value statement was first adopted in the 2016 comprehensive plan and retained in the 2025 comprehensive plan update. Under the current city culture focused on turning the city ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1 Without data, enterprise AI isn't going to be successful. Getting all the data in one place and having the right type of data tools, including ...