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 ...

David Ellison's Paramount Skydance is reshaping its ad product and tech teams. Here's what changes were made, and who's ...

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

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

When a deadly listeria outbreak swept across Canada in 2024, the initial headlines focused on recalls and rising case counts.

Why do algorithms keep showing us content we claim not to want? The answer isn’t manipulation—it’s conflict between our ...

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

Abstract: The mapping of T-cell-receptors (TCRs) to their cognate peptides is crucial to improving cancer immunotherapy. Numerous computational methods and machine learning tools have been proposed to ...