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

The right balance lies in using AI where it accelerates safely and relies on skilled engineers to govern where it cannot.

OpenAI's GPT-5.2-Codex advances software engineering with better reasoning and context understanding - SiliconANGLE ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...

Discover the top seven penetration testing tools essential for enterprises in 2025 to enhance security, reduce risks, and ensure compliance in an evolving cyber landscape. Learn about their core ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Gen AI in software engineering has moved well beyond autocomplete. The emerging frontier is agentic coding: AI systems capable of planning changes, executing them across multiple steps and iterating ...

Despite OpenAI's bold claims of widespread improvements, GPT-5.2 feels largely the same as the model it replaces. Google, ...

AI accelerates aerospace engineering by cutting design cycles and improving performance through data-driven optimization.AI ...

C compiler, LustreC, into a generator of both executable code and associated specification. Model-based design tools are ...