OpenAI’s new FrontierScience benchmark shows AI advancing in physics, chemistry, and biology—and exposes the challenge of ...

When teams treat AI as a tool for insight rather than full automation, and keep human judgment at the center, adoption ...

Test vendors use AI and machine learning to handle massive data volumes from complex electronics and detect hard-to-find ...

Overview: Explains why generative AI needs a new approach to software testingLists top tools transforming QA automation and evaluationExamines how QA roles and ...

From generating test cases and transforming test data to accelerating planning and improving developer communication, AI is having a profound impact on software testing. The integration of artificial ...

Agentic artificial intelligence is the new belle of the software ball. C-level executives want their companies to use AI agents to move faster, therefore driving vendors to deliver AI agent-driven ...

The semiconductor industry is increasingly turning to artificial intelligence as the solution for increasing complexity in test analytics, hoping algorithms can tame the growing flood of production ...

As software grows more complex and release cycles shorten, the demand for faster, more reliable testing solutions has never been greater. Compounding the challenge, software testing costs now consume ...

Testing APIs and applications was challenging in the early devops days. As teams sought to advance their CI/CD pipelines and support continuous deployment, test automation platforms gained popularity, ...

Brave has introduced a new AI browsing feature that leverages Leo, its privacy-respecting AI assistant, to perform automated tasks for the user.