Malware continues to be one of the most effective attack vectors in use today, and it is often combatted with machine learning-powered security tools for intrusion ... Those sources provide threat ...

With industries increasingly adopting machine learning, it seems likely that knowledge graph technology will also evolve hand-in-hand. As well as being a useful format for feeding training data to ...

The paper elaborates on a technique for using knowledge graphs with machine ... learning algorithm in that paper is not neural-based. My take-away from this is that revisiting earlier findings ...

and machine learning. According to Communications of the ACM (hereafter referred to as ACM), knowledge graphs are important for deepening understanding of ideas and technologies in a variety of ...

using their machine-learning-trained algorithm, assessed how much of a threat they represent based on how they're described. They found that Twitter can not only predict the majority of security ...

We take the opportunity to discuss the database market, graph, and beyond, with CEO and co-founder Claudius Weinberger and Head of Engineering and Machine Learning Jörg Schad. ArangoDB was ...

A new report out today from software supply chain company JFrog Ltd. reveals a surge in security vulnerabilities in machine learning platforms ... One of the critical findings includes a ...

Bringing knowledge graph and machine learning technology together can improve the accuracy of the outcomes and augment the potential of machine learning approaches. With knowledge graphs, AI language ...