Investors need a new framework for evaluating opportunities in the emerging Intelligence Economy ("Intellinomics"). Semantic Graph Engines represent the next major paradigm after databases, ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

Graph colouring is a fundamental problem in both theoretical and applied combinatorics, with significant implications for computer science, operational research and network theory. At its essence, ...

SAN FRANCISCO, Feb. 21, 2024 (GLOBE NEWSWIRE) -- Cycode, the leader in Application Security Posture Management (ASPM), today announced enhancements to its award-winning ASPM platform. With the ...

Graph partitioning and bisection problems occupy a central position in combinatorial optimisation and theoretical computer science. These issues involve dividing a graph’s vertex set into distinct ...

A new study of over 6,000 brain scans overturns the idea that global efficiency drives intelligence. Instead, researchers ...

Galway, Ireland – 24th June, 2025 — Siren, the all-in-one investigation company, today announced its adoption of Graph Query Language (GQL), the world’s first ISO-standard query language for graphs, ...

New capabilities solidify Silverfort's leadership position in emerging IVIP category, and give enterprises the required tools to proactively counter identity threats, while simultaneously boosting ...

Heading to Celonis Celosphere 2025 in Munich in early November? You'll be attending at a critical moment — Celonis is positioning itself as the essential intelligence layer for enterprise Artificial ...