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

Are you grappling with managing your test data in an automation framework? Here’s a fact: effective Test Data Management (TDM) can significantly improve your software testing process. This ...

When a chip malfunctions it’s the job of the failure analysis engineer to determine how it failed or significantly deviated from its key performance metrics. The cost of failure in the field can be ...

It’s not just the rapid advance of artificial intelligence technologies, but the varying types of AI deployed by automation tech suppliers that are creating some confusion in the manufacturing ...

Transformation is more than another manufacturing buzzword. Today, 98 percent of manufacturers have a digital initiative in ...

Modular and open test architectures enable engineers to build the right solution for each challenge, whether integrating ...

The world as we know it has been transformed by AI, but perhaps no field has been more profoundly affected than analytics and data science. While traditional data science practices have paved the way ...

The world is changing more rapidly than ever. With the explosion of Artificial Intelligence (AI), Machine Learning (ML) and data analytics, semiconductor manufacturers now have the opportunity to ...

The Browser MCP (Model Context Protocol) server, when paired with Cursor, provides a comprehensive platform for automating browser tasks and testing web applications. By combining browser navigation, ...