Understanding the interaction between light and matter at the smallest scales (angstrom scale) is essential for advancing ...

The agentic AI solution, known internally as Weave, launched alongside a model benchmarking tool called LLM-IQ. It was built from the ground up using data sourced from carriers and operators to create ...

A new method has been developed that enables large networks to efficiently process the advanced information demands of the ...

Waterfall Network is a layer-1 protocol that implements a Directed Acyclic Graph (DAG) as its foundational ledger. A DAG is a ...

Security graphs are becoming indispensable for understanding system access and network activity and empowering security teams to anticipate, detect and contain breaches.

A sensor network is designed to construct graph data based on based on the physical relationships among signals. Leveraging the interpretability of wavelet trans-form, PAGN integrates a multi-scale ...

A Physics-Aware Graph Network for Geometry Online Monitoring in Smart Manufacturing Abstract: Industrial Internet of Things (IIoT) empowers smart manufacturing by enabling real-time data collection, ...

Repository of the netin package to generate random scale-free graph generators proposed by members of the Network Inequality CSH group.

Network graphs, now growing in popularity, are designed to help us see connections, capturing the interplay between many dimensions.

The emergence of these networks is explained by growth and preferential attachment, which are the core mechanisms of many scale-free network generators in which n nodes are added to the graph and ...

Networks are one of the most common ways to represent biological systems as complex sets of binary interactions or relations between different bioentities. In this article, we discuss the basic graph ...