Encryption systems rely on “random” numbers, but conventional computers can’t generate them perfectly. New research shows that quantum physics can.

Data science and machine learning algorithms can help us form probabilistic forecasts of things like sporting events.

Some Python implementations of randomized, matrix-free algorithms for estimating $\text{tr}(A)$, $\text{tr}(A^{-1})$, $\log \det(A)$, $\text{diag}(A)$, $\text{diag}(A ...

Abstract: This paper is concerned with online algorithms for the generalized Hermitian eigenvalue problem (GHEP). We first present an algorithm based on randomization, termed alternate-projections ...

Abstract: Motivated by applications to sensor, peer-to-peer, and ad hoc networks, we study distributed algorithms, also known as gossip algorithms, for exchanging information and for computing in an ...

How to use: Run the program, input your choice for what probability to simulate and input the number of attempts to simulate. The program will print the incrementing probability of the event based on ...

An internal Facebook report found that the social media platform’s algorithms – the rules its computers follow in deciding the content that you see – enabled disinformation campaigns based in Eastern ...

Guided by optimal virtual care principles, as well as by Hom and colleagues’ four-stage framework—consultation, adaptation, pilot-testing, and test launch—this paper is a tutorial for the step-by-step ...

Networks have been an excellent framework for modeling complex biological information, but the methodological details of network-based tools are often described for a technical audience. We have ...