Testing artificial intelligence (AI) applications is not the same as testing regular software. AI’s complexity, its unpredictable nature and dependency on vast troves of data present unique challenges that can confound even well-seasoned testers. As AI penetrates more industries, from healthcare diagnosis to driverless cars, it’s essential that it’s reliable, fair and performs as expected. But frequently, there…
Android development can be highly rewarding until your MacBook begins to exhibit excessive fan noise and performance degradation. Using Android emulators on macOS comes with a set of certain drawbacks that include an increase in CPU temperature, constant fan noise, and battery drainage. These aren’t just mere annoyances-they could actually put a wrench in your…
Testing artificial intelligence (AI) systems is a beast of its own when it comes to testing regular code. Where traditional software testing centers around predictable inputs, outputs, and deterministic logic, AI, especially machine learning (ML) models, lives in a probabilistic, data-driven environment. This change brings in complexities that leave even experienced testers surprised. But with AI powering sensitive applications…