Discover the leading mobile application testing tools for DevOps teams in 2025, aimed at enhancing performance, stability, and agile release cycles for businesses worldwide.

We present a framework for the automated measurement of responsible AI (RAI) metrics for large language models (LLMs) and associated products and services. Our framework for automatically measuring ...

BRISTOL, United Kingdom, Dec. 09, 2025 (GLOBE NEWSWIRE) -- Automation continues to reshape the operational structure of digital-asset markets, accelerating the shift toward systems capable of managing ...

New AI-powered feature reduces setup time by up to 96%. Across the promotional products industry, suppliers and distributors spend thousands of hours manually setting up products for online ...

The FAA has finalized what its terms a “framework” for approving advanced automated systems in aircraft and applying current regulatory policies to concepts in the rapidly developing segment. The ...

In a rapidly evolving digital landscape, Software-as-a-Service (SaaS) continues to reshape enterprise operations. But as businesses scale, ensuring tenant isolation while maintaining efficiency ...

Large language models (LLMs) are now widely used for automated code generation across software engineering tasks. However, this powerful capability in code generation also introduces security concerns ...

Google's Mandiant Threat Defense on Monday said it discovered n-day exploitation of a now-patched security flaw in Gladinet's Triofox file-sharing and remote access platform. The critical ...

Automated testing has always been the pillar of software quality assurance. The ages of Selenium tools have reigned supreme, providing engineers with access to technology capable of properly ...

Even a single broken or disabled component within the .NET Framework can stop the entire environment from functioning. Re-enabling it through Windows Features and reinstalling the latest runtime ...

Abstract: This research introduces the Semi-Automated Feature Engineering framework, an approach to addressing the complexity of feature engineering in machine learning. The framework addresses an ...