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

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.

Some individuals don’t consider themselves “poetry people.” I, for one, infrequently read poetry, rarely write poetry, and ...

Five years ago, mathematicians Dawei Chen and Quentin Gendron were trying to untangle a difficult area of algebraic geometry involving differentials, elements of calculus used to measure distance ...

Daniel Liberto is a journalist with over 10 years of experience working with publications such as the Financial Times, The Independent, and Investors Chronicle. Amy is an ACA and the CEO and founder ...

Giulia Livieri sets out remarkable new research with results that clarify how learning works on complex graphs and how quickly any method (including Graph Convolutional Networks) can learn from them, ...