Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...

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 ...

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

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

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 ...

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 ...

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, ...

Ph.D student Austin P. Wright wins a best paper runner-up award at an international conference for an algorithm used on the Mars Perseverance Rover than can be used in applications in earth science ...

When X's engineering team published the code that powers the platform's "for you" algorithm last month, Elon Musk said the ...

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.