Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

Machine-learning systems already shape ordinary parts of life, from spam filters to product recommendations and social media ...

Accelerated use of AI in software development is rapidly altering the scope, skills, and strategies involved in securing code ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper publishing April 22 in the Cell Press ...

Confused by a Microsoft error code? Learn about system, update, HTTP, and Azure-related codes, what they mean, and how to fix ...

Learn how to install and use Hermes Agent to automate complex tasks, benchmark AI models like GPT 5.5, and run iterative ...

Thomas Kurian’s Google Cloud Next keynote framed Google’s agentic AI vision. Here are five key takeaways for IT leaders.

In 2026, as AI-driven software generation accelerates, the role of the CIO evolves. This article explores how governance ...

The less visible platform powering all this — a piece of software called OpenClaw, which thousands of people had been using ...

The growing field of machine unlearning aims to make large language models forget harmful information without retraining them ...

Unpacking how recent progress in scaling active inference is already demonstrating real improvements for distributed control ...

In recent years, artificial intelligence has become more accessible than ever before. Powerful libraries, automated platforms ...