Probability and Statistics Group research at the School of Mathematical and Computer Sciences at Heriot-Watt University, Edinburgh.

During a major crisis, the transitional dynamics of conditional convergence are unlikely to apply. In this paper, we introduce a Markov chain approach which integrates the study of crises and ...

The institutionalization of digital assets and its convergence with traditional financial systems is not a passing trend, but a structural realignment of markets, says Hunting Hill Global Capital ...

Graph databases and knowledge graphs—especially when combined—fulfill this role. This is part of a rapidly unfolding movement in which “databases have evolved from merely storage layers for ...

In this paper we study the connection between graph filters, graph neural networks (GNNs) and manifold filters, manifold neural networks (MNNs), Specifically, we consider the case when we have access ...

Graph Neural Networks (GNN) have shown performance on learning on structured data and found applications in different fields like biology, physics, transportation, e-commerce. However, the convergence ...

While consolidation may be a more straightforward exercise, the power of convergence can forge the future foundation for functionality that companies have yet to imagine.

Discover how AI-blockchain convergence is transforming energy systems for smarter, transparent and sustainable power solutions worldwide.

Project Convergence Capstone 5 experiments at NTC By Sgt. Joseph Enoch and David Miller, PC-C5 Joint Information Center April 3, 2025 ...

As defense and tactical operations evolve, the deployment of scalable rugged compute at the edge is essential for agile and resilient C2ISR convergence that is mobile and goes with the point of ...

More “watershed moments” could be on the way in 2025 as artificial intelligence, blockchain and other emerging tech collide, according to the head of the Sui Foundation.