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

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

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

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

Healthcare and finance apps operate in two of the most demanding digital environments today. Both industries deal with ...

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 ...

With AI Software Integrity Builder, Keysight empowers engineering teams to move from fragmented testing to a unified AI ...

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 ...

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 ...

Artificial Analysis overhauls its AI Intelligence Index, replacing saturated benchmarks with real-world tests measuring ...

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