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.

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

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

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 ...

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

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 ...

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

In a series of posts on X, @Alfaturk16 has highlighted the appearance of test builds for the Galaxy Tab S8 and the Galaxy Tab S9 FE. The user has also revealed the appearance of a ...