Understand the merits of large language models vs. small language models, and why knowledge graphs are the missing piece in ...

I spent almost two years after I left the Cyber Protection Brigade working on training. Not traditional military training ...

Open-source data orchestration platform Kestra reaches 1.0 as organizations grapple with increasing complexity for getting ...

Context, not content, now drives AI visibility, making structured data the strategic data layer every enterprise must ...

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of ...

Abstract: Recently, the emerging False Data Injection Attacks (FDIAs), one of the major cybersecurity threats, have been severely threatening smart grids, since FDIAs could bypass conventional bad ...

In the data-driven era, data analysis has become a core skill across various industries. Python, with its inherent advantages ...

A high-performance AI framework enhances anomaly detection in industrial systems using optimized Graph Deviation Networks and graph attention ...

A professionally curated list of awesome resources (paper, code, data, etc.) on Deep Graph Anomaly Detection (DGAD), which is the first work to comprehensively and systematically summarize the recent ...

The Open Data QnA python library enables you to chat with your databases by leveraging LLM Agents on Google Cloud. Open Data QnA enables a conversational approach to interacting with your data. Ask ...

Software Engineer Creates Tool to Track User Behavior in Data Analysis Software  Recent data shows that using outdated data visualization systems and other ...

Abstract: Edge perturbation is a basic method to modify graph structures. It can be categorized into two veins based on their effects on the performance of graph neural networks (GNNs), i.e., graph ...