Scientists at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory have developed a novel artificial ...

I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

Closing this data gap is both easy and hard. It’s easy because it has a very simple solution: collect sex-disaggregated data.

We use algorithms every day for things like image searches, predictive text, and securing sensitive data. Algorithms show up ...

Researchers develop a lightweight algorithm designed to reorganise network connections to enable secure, low-latency data ...

Data structures and algorithms constitute the foundational pillars of computer science. They provide the systematic methods for organising, storing and manipulating data, and offer step-by-step ...

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

We developed two algorithms to identify patients with stomach, lung, colorectal, breast, and cervical cancers: diagnosis only (algorithm 1), and combining diagnosis, treatments, and medicines ...

Artificial intelligence has become a popular tool for job recruiters, in part because programmers can code applicant-screening algorithms to avoid any explicit discrimination in their decision-making ...

Social data refers to publicly shared information on social media platforms. Discover how it's used for marketing, its advantages, and the risks associated with data breaches.