QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

A new generation of decentralized AI networks is moving from theory to production. These networks connect GPUs of all kinds ...

In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...

OpenAI is expanding its enterprise offerings with a platform that lets companies build, deploy, and manage their own AI agents. These agents can function like digital coworkers, integrating directly ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with projects that support AI development.

Overview: Generative AI is rapidly becoming one of the most valuable skill domains across industries, reshaping how professionals build products, create content ...

Think about the last time you searched for something specific—maybe a product comparison or a technical fix. Ideally, you ...

On Friday, a Reddit-style social network called Moltbook reportedly crossed 32,000 registered AI agent users, creating what ...

Built-in functions, UDFs, materialized results, and integrations with ML and AI models make streaming SQL a compelling choice ...

Over the past year, I've been working on a challenge that faces every organization implementing Zero Trust: how do you manage ...

With no-code workflows and streamlined data pipelines, Unity aims to simplify how firms build, share, and scale interactive ...

I'm a Fitness & Nutrition writer for CNET who enjoys reviewing the latest fitness gadgets, testing out activewear and sneakers, as well as debunking wellness/fitness myths. In my free time I enjoy ...