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

The ordinary graphite in pencil lead is proving to be surprisingly multifaceted at the microscale. In a study published in ...

Data analysis is no longer a specialist skill reserved for analysts. It now supports finance, trading, ecommerce, marketing, ...

If you’ve worked in the market for years, we know you know all of this. Just enjoy the refresher — you never know when an intern might ask a question about the basics. Markets help match buyers and ...

For the Cancer Calculus, ICIJ’s data team created datasets using records from patent offices and courts, and analyzed the opaque pricing of a lifesaving drug with a sky-high price tag. New data shows ...

This is an opinionated essay about good and bad practices in data visualization. Examples and explanations are below. The Scripts/ directory contains .Rmd files that generate the graphics shown below.

Markov Affinity-based Graph Imputation of Cells (MAGIC) is an algorithm for denoising high-dimensional data most commonly applied to single-cell RNA sequencing data. MAGIC learns the manifold data, ...

Abstract: Factor graphs, initially developed as probabilistic graphical models, have been widely employed for solving large-scale inference problems in robotics, particularly in tasks such as pose ...