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

A study comparing patient identification methods found referential matching delivered notably higher accuracy than traditional probabilistic algorithms. Using a gold-standard reference dataset from a ...

We present a probabilistic greedy search method for combinatorial optimisation problems. This approach is implemented and evaluated for the Set Covering Problem (SCP) and shown to yield a simple, ...

The phenomenal success of our integrated circuits managed to obscure an awkward fact: they’re not always the best way to solve problems. The features of modern computers—binary operations, separated ...

Toshiba has overcome this challenge by developing a third‑generation simulated bifurcation (SB) algorithm. This ...

It is a curious quirk of the age that, when confronted with the outputs of large language models or predictive systems, we slip into the language of personality. We say “the AI thinks”, “it refuses to ...