Great AI pilots often fail when they leave the sandbox. Clear objectives, shared language and disciplined execution are what ...

Revolutionary autonomous testing agent catches 847 bugs monthly while reducing QA cycle time from weeks to daysQA flow, ...

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...

With a vision of to be the best platform to build AI agents, Amazon Web Services (AWS) on Friday unveiled a new approach to software development using generative AI, at its AWS DevSphere 2025 event in ...

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

The fast evolution of technology in the areas of Artificial Intelligence (AI), Data Analytics, and cloud computing has changed the way we measure, understand, a ...

Explore best practices and guardrails for agentic AI in pentesting, including scalability, rapid detection, automated triage, ...

Manchester researchers have developed a systematic methodology to test whether AI can think logically in biomedical research, helping to ensure safer, more reliable applications in health care ...

Mechanical materials testing is a fundamental method in quality assurance, utilized across material development, production, and laboratory settings. However, the integration of artificial ...

"The future of testing is here," said Patty Altman, president of Global Solutions for Circana. "Liquid Testing is a major advancement for brand, innovation, and activation teams, providing a fast, ...

What if your AI system could be evaluated with the same precision and rigor as a scientific experiment? In a world where artificial intelligence is increasingly central to decision-making, the stakes ...