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 ...

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

As the 2026 FIFA World Cup unfolds across North America, the world is focused on the players, coaches, and dramatic moments on the field.

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

Japan is weighing military AI for SDF command operations, including Palantir's Maven, while officials debate data control and ...

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

Roese's predictions: stronger AI governance, better data management, agentic AI infrastructure, resilient AI factories, and sovereign AI strategies.

A secondary purpose of this repository is to provide a generalized graph API that enables implementation of a very wide range of in-memory graph algorithms including basic methods for reading, writing ...

Abstract: Feature selection is a challenging problem for high dimensional data processing, which arises in many real applications such as data mining, information retrieval, and pattern recognition.

Abstract: Nowadays, we have diverse sensor technologies and image processing algorithms that allow one to measure different aspects of objects on the Earth [e.g., spectral characteristics in ...