Understand why testing must evolve beyond deterministic checks to assess fairness, accountability, resilience and ...

For years, the network fabric inside data centers were built for relatively predictable traffic flows. Testing this ...

AI is transforming the software landscape, with many organizations integrating AI-driven workflows directly into their ...

Avoid these mistakes to build automation that survives UI changes, validates outcomes properly, and provides useful feedback.

As data streams grow, modern ATE ensures flexible, scalable accuracy.

The rapid development and widespread use of artificial intelligence (AI) systems is posing new challenges for electricity ...

With electronics increasingly facing the challenges of high speed and more complex designs, test and measurement vendors an avalanche of test data to process. In response, they are increasingly ...

Quality and speed do not always go hand in hand. In test data management, however, they need to, because it has become more important than ever to deliver high-quality software quickly and safely. Any ...

Product demos get all the attention, but software development more often involves things like debugging, quality assurance, and testing. It’s the dull but critical work that keeps software running the ...

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 ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.