MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Data inconsistencies arise when formats, units, or collection practices change over time, undermining model reliability. Poor ...

Every medication in your cabinet, every material in your phone's battery, and virtually every compound that makes modern life work started as a molecular guess, with scientists hypothesizing that a ...

Interview Kickstart works with a network of over 700 instructors, including hiring managers and senior engineers from major ...

An AI-powered model that analyzes electrocardiograms was able to accurately detect COPD early in internal testing and ...

Schroders Capital’s insurance-linked securities (ILS) division has partnered with ETH Zurich, a public university in Zurich, Switzerland, to launch an ...

Artificial intelligence (AI) is revolutionizing how businesses operate by making processes faster, smarter and more efficient. One of the most significant impacts has been on business software, where ...

Econet Wireless Zimbabwe placed artificial intelligence and machine learning at the core of its operating model. The company aimed to reduce costs, improve service quality, and protect margins amid ...

Policy makers and technology leaders are pressing ahead with a governance-by-design approach to artificial intelligence as deployment accelerates across public services, finance, manufacturing and ...

Rwanda held strategic discussions on cybersecurity, AI computing infrastructure, and digital sovereignty at the 2026 World Economic Forum. The government explored potential partnerships with Cisco and ...

A sociotechnical lens highlights red-teaming as a particular arrangement of human labor that unavoidably introduces human ...

In this series, we examine what happens after the proof of concept and how AI becomes part of the software delivery pipeline.