Abstract: A general problem in multi-node systems is data synchronization, where the most used method uses synchronous data updating. All changes made by the user are immediately reflected in the data ...

High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

Personnel won't be able to fully process all the data available on the modern battlefield. That's where artificial intelligence applications come in.

The biotechnology firm Health Discovery is carving out a niche in the molecular diagnostics space by focusing on advanced mathematical analysis. Its core missio ...

The agency’s 31% year-over-year surge in AI use cases includes work with predictive models and surveillance technologies that sparked concern from privacy and technology safety advocates.

Abstract: This article aims to build a multi-dimensional and algorithm-based assessment system of enterprise information system, and verify its effectiveness and practicability. In order to achieve ...

They’re harnessing it to help directors prepare, debate, and decide. by Stanislav Shekshnia and Valery Yakubovich In 2014 Hong Kong–based Deep Knowledge Ventures formally appointed an algorithm to its ...

Brain-reading earbuds monitor neural pleasure signals while you listen, then predict songs to give you chills. Tests show promising results.

While most SEO articles debate minor ranking factors, Google is fundamentally rebuilding how local search works.

Objective: This study uses natural language processing methods and quantitative modeling to analyze English and Spanish breast cancer posts from Facebook, a vital source of health-related information ...

For much of the last year, staffers who were initially part of the Department of Government Efficiency effort improperly accessed and shared sensitive personal data on millions of Americans. The Trump ...