Most of you have used a navigation app like Google Maps for your travels at some point. These apps rely on algorithms that ...

Beyond its methodological contribution, the study offers new insights into how stimulus-driven variability and internally generated gain fluctuations evolve over time and between brain areas. The ...

There’s an expression that fraud experts use all the time to warn people about a suspected scam: If it sounds too good to be true, it probably is. That’s how I feel about President Donald Trump’s ...

A learning algorithm is a mathematical framework or procedure that calculates the best output given a particular set of data. It does this by updating the calculation based on the difference between ...

Genome assembly algorithms are sets of well defined procedures for reconstructing DNA sequences from large numbers of shorter DNA sequence fragments. Fragments are aligned against one another and ...

Abstract: Identifying positive influence dominating set (PIDS) with the smallest cardinality can produce positive effect with the minimal cost on a social network. The purpose of this article is to ...

Abstract: In this paper, we propose a successive convex approximation framework for sparse optimization where the nondifferentiable regularization in the objective function is nonconvex and it can be ...

Every time you scroll, like, or share on a social media platform, an algorithm is watching, learning, and deciding what you see next. But how many of us stop to think about what's actually driving ...