CrowdStrike Holdings Inc.’s Enterprise Graph solution is the company’s latest defense against cyberattacks fueled by agentic artificial intelligence. The innovation is part of the company’s new ...

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 connections to different types of databases is a critical ...

COLUMBUS, Ohio (WCMH) — The Public Utilities Commission of Ohio rejected a bid from Amazon, Google and others to overturn AEP’s new tariff, or rate structure, specifically for data centers. Amazon and ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Protein function prediction is essential for elucidating biological processes and ...

Rajiv Shesh is the Chief Revenue Officer at HCLSoftware where he leads revenue growth & customer advocacy for Products & Platforms division. What’s really powering AI? High-quality data—foundational ...

This library is being created by me to attempt a library, similar to C++'s "Standard Template Library", however, making it generic by using void pointers and enumeration as a way to store any data ...

Abstract: Graph Neural Networks (GNNs) have recently achieved remarkable success in various learning tasks involving graph-structured data. However, their application to multi-relational graph anomaly ...

Introduction: Traditional Graph Pattern Matching (GPM) research mainly focuses on improving the accuracy and efficiency of complex network analysis and fast subgraph retrieval. Despite their ability ...

A young computer scientist and two colleagues show that searches within data structures called hash tables can be much faster than previously deemed possible. Sometime in the fall of 2021, Andrew ...

Ever since the introduction of the Google Knowledge Graph, a growing number of organizations have adopted this powerful technology to drive efficiency and effectiveness in their data management.