A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

A mathematical problem that had remained unsolved for more than 10 years in the physics of complex systems has finally been ...

TikTok super app now books hotels, streams full songs, tracks FIFA World Cup scores, and is pursuing a fintech license in ...

Abstract: Triangle classification is essential in graph analysis, such as for effectively detecting communities, evaluating clusters, and quantifying connection density. While traditional algorithms ...

Abstract: Infrastructure deterioration poses major economic and safety risks, motivating scalable and objective inspection of concrete structures. This article presents CrackNet-graph neural network, ...