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 = ...

A Zambian graduate student in the United States is developing a machine learning system designed to help African farmers ...

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

In today's hospitals and clinics, a dermatologist may use an artificial intelligence model for classifying skin lesions to ...

Micro-gesture recognition (MGR) is emerging as a new frontier in affective computing, focused on analyzing subtle, involuntary body movements that ...

This paper examines whether biological age, as distinct from chronological age, could become a new basis for discrimination.

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

Stanford's 2026 AI Index: frontier models fail one in three attempts, lab transparency is declining, and benchmarks are ...

In 2026, AI research is moving beyond raw scaling to focus on efficiency, adaptability, and operational robustness. Advances in architectures, benchmarks, and conferences reflect a growing emphasis on ...

MSCI will post the list of additions to and deletions from the indexes for the May 2026 Index Review on its web site, ...

"The algorithm can only be governed together, Artificial Intelligence and participation" is the title of a study by the Cnel ...