Abstract: This paper gives a clear understanding of how a system can be modeled in a non-parametric and probabilistic way using machine learning based on historical data with taking into account ...

Abstract: A probabilistic Boolean network (PBN) is a discrete-time system composed of a collection of Boolean networks between which the PBN switches in a stochastic manner. This article focuses on ...

The techniques for evaluating the probabilistic properties of systems having identical operational and spare units with different facilities for repairs are discussed in this paper. The important ...

One can often prove contextuality of a theory by studying statistical behaviours of an individual system A (such as a qubit) in prepare-and-measure scenarios. The information that suffices to describe ...

Richie Etwaru, Co-founder & CEO of Mobeus, is an evangelist for the probabilistic math revolution and a pioneer in emerging technologies. I’ve spent decades building software. Early on, it was simple: ...

Richie Etwaru, Co-founder & CEO of Mobeus, is an evangelist for the probabilistic math revolution and a pioneer in emerging technologies. For most of business history, systems followed deterministic ...

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 ...

AI is a probabilistic system but our legislative systems are not designed to deal with such systems. Large language models (LLMs) work so well because they compress human knowledge. They are trained ...