Grades are a standard part of the American educational system that most students and teachers take for granted. But what if ...

Abstract: Software testing ensures systems meet requirements and identifies defects while minimizing manual effort, reducing costs, and enhancing automation. Model-Based Testing (MBT) leverages ...

A few days ago, Google finally explained why its best AI image generation model is called Nano Banana, confirming speculation that the moniker was just a placeholder that stuck after the model went ...

Abstract: Test-time adaptation (TTA) seeks to tackle potential distribution shifts between training and testing data by adapting a given model w.r.t. any testing sample. This task is particularly ...

AI is everywhere in conversations about software testing and quality engineering. Expectations are high, but many teams still struggle to apply AI in meaningful and secure ways. This is often due to ...

Several frontier AI models show signs of scheming. Anti-scheming training reduced misbehavior in some models. Models know they're being tested, which complicates results. New joint safety testing from ...

Singapore-based AI startup Sapient Intelligence has developed a new AI architecture that can match, and in some cases vastly outperform, large language models (LLMs) on complex reasoning tasks, all ...

Model-Based Testing is a software testing technique where test cases are automatically generated from a model that describes the expected behavior of the system under test (SUT). Instead of writing ...

A/B testing is a powerful tool for optimizing SEO strategies, and this article brings you real-world examples and results. Drawing from the expertise of seasoned professionals, these insights offer ...