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

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, ...

This is a preview. Log in through your library . Abstract We propose a probabilistic algorithm for factorization of an integer $N$ with run time $(\exp\sqrt{\log N ...

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 ...

LONDON, Aug. 27, 2021 — Brytlyt announces they have been granted a patent by the United States Patent and Trademark Office for their ground-breaking algorithm that allows efficient and effective ...

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...

A paper co-authored by Prof. Alex Lew has been selected as one of four "Outstanding Papers" at this year's Conference on Language Modeling (COLM 2025), held in Montreal in October.

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 ...