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

Life, liberty and the pursuit of happiness. Thomas Jefferson sure knew what he was doing when he inscribed these “unalienable ...

Decades ago, Paul Erdős used randomness to illuminate the vast and weird world of networks. Now mathematicians are making his ...

Healthcare policy is increasingly justified through the language of numbers, yet numerical precision does not guarantee sound reasoning. Some of the most damaging public health controversies, from ...

Blending algebra and geometry courses can give students more room in their schedules to take other courses like data science or statistics, concepts that are very present in people’s everyday lives.

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

Abstract: Possessing a manipulable representation of the world is a requirement for intelligent machines to plan, reason, and act in the world. Endowing computational systems, e.g., deep networks (DNs ...

Abstract: Uncovering hidden relations in complex data sets is a key step to making sense of the data, which is a hot topic in our era of data deluge. Graph-based representations are examples of tools ...