Researchers from Saarland University and the Max Planck Institute for Software Systems have, for the first time, shown that ...

Understanding the differences between probabilistic and deterministic AI will help manufacturers make more informed choices and achieve measurable results. As professionals become interested in using ...

Ising machines demonstrate significant potential to tackle computationally complex challenges, including combinatorial optimization problems related to logistics, manufacturing, finance, and AI. The ...

This is the community edition of GenJAX, a probabilistic programming language in development at MIT's Probabilistic Computing Project. We recommend this version for stability, community contributions, ...

Abstract: Probabilistic programming allows developers to focus on the modeling aspect in the Bayesian workflow by abstracting away the posterior inference machinery. In practice, however, programming ...

Imagine a world where your computer doesn’t just work harder but smarter, tapping into the very chaos that surrounds us. It’s not science fiction—it’s the dawn of probabilistic and thermodynamic ...

A recent study published in JAMA Pediatrics, “Tenant Right-to-Counsel and Adverse Birth Outcomes in New York, New York,” demonstrates how guaranteed legal representation for tenants facing eviction ...

Generative models of tabular data are key in Bayesian analysis, probabilistic machine learning, and fields like econometrics, healthcare, and systems biology. Researchers have developed methods to ...

Researchers have developed an easy-to-use tool that enables someone to perform complicated statistical analyses on tabular data using just a few keystrokes. Their method combines probabilistic AI ...