Probabilistic programming has emerged as a powerful paradigm that integrates uncertainty directly into computational models. By embedding probabilistic constructs into conventional programming ...

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

Free Photo Think back to ancient leaders who looked to the stars or the flight patterns of birds just to predict the future.

Submodular maximization is a significant area of interest in combinatorial optimization, with numerous real-world applications. A research team led by Xiaoming SUN from the State Key Lab of Processors ...

A photograph of the developed prototype. The system is designed such that the spintronic probabilistic bit comprising a stochastic magnetic tunnel junction (MTJ) [left] generates a physical random ...

This article is sponsored by Eyeota. The United States stands alone when it comes to its insistence on a predominantly deterministic approach to data-driven marketing. Because of that, the ongoing ...