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.

Back by popular demand (and the Dell faithful's outrage!), the XPS name returns in new 14-inch and 16-inch laptops that also ...

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 ...

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

SYDNEY, Jan. 3, 2026 /PRNewswire/ -- Samsung Electronics has begun unveiling hero products that will join its 2026 line-up, ...

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, ...

In a series of posts on X, @Alfaturk16 has highlighted the appearance of test builds for the Galaxy Tab S8 and the Galaxy Tab ...

Norm Hardy’s classic Confused Deputy problem describes a privileged component that is tricked into misusing its authority on ...

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