Over the years, data centers have reinvented themselves through virtualization, the cloud and AI. The next iteration is ...

We provide a practical implementation of maximum clique enumeration algorithm for massive networks. James Cheng, Yiping Ke, Ada Fu, Jeffrey Xu Yu, Linhong Zhu: Finding Maximal Cliques in Massive ...

ABSTRACT: This study presents the design and modeling of an Automated Voltage Regulator (AVR) using MATLAB/Simulink, with a comparative performance evaluation against Proportional-Integral-Derivative ...

We study the problem of estimating the size of a maximum matching in sublinear time. The problem has been studied extensively in the literature and various algorithms and lower bounds are known for it ...

John Peterson does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...

A key question in artificial intelligence is how often models go beyond just regurgitating and remixing what they have learned and produce truly novel ideas or insights. A new project from Google ...

Abstract: In applied and numerical algebraic geometry, many problems are reduced to computing an approximation to a real algebraic curve. In order to elevate the results of such a computation to the ...

We present a new optimization-based method for aggregating preferences in settings in which each voter expresses preferences over pairs of alternatives. Our approach to identifying a consensus partial ...

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 ...

The original version of this story appeared in Quanta Magazine. Computer scientists often deal with abstract problems that are hard to comprehend, but an exciting new algorithm matters to anyone who ...