The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

CU Anschutz researcher Michael A. David, PhD, is turning to a subset of AI to enhance the field of orthopedics and helping others do the same.

Researchers use machine learning and genetic analysis to uncover type 1 diabetes risk factors, improving prediction accuracy ...

Edinburgh-based AI consultancy, New Gradient, has developed a pioneering machine learning tool to enhance woodland monitoring ...

Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...

Spearheaded by the Digital Policy Office, the IT Innovation Lab in Secondary Schools programme and the Knowing More About IT ...

Read more about Agentic AI red teaming could become essential for securing future AI systems: Here's why on Devdiscourse ...

Muons are a key subatomic particle in the discovery of new physics, but after particle collision, they’re difficult to track.

"The results have been overwhelmingly positive, demonstrating a validated approach to automated woodland measurement, reporting and verification using Earth observation data.” Edinburgh-based Heineken ...

EMBL Grenoble's Marquez Team has developed an AI-based training method that automates crystal screening and identification ...

Artificial Intelligence-driven solutions aimed at transforming healthcare claims management under the Ayushman Bharat Pradhan ...

This article is about a real event. It is not satire, parody, or metaphor. In late April 2026, OpenAI publicly explained why ...