Graphical models provide a robust framework for representing the conditional independence structure between variables through networks, enabling nuanced insight into complex high-dimensional data.

AI inference at the edge refers to running trained machine learning (ML) models closer to end users when compared to traditional cloud AI inference. Edge inference accelerates the response time of ML ...

The Ising model, when used as a technique, refers to a computational and analytical framework for studying systems of binary variables with pairwise interactions, typically on a lattice or graph, via ...