QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Adaptive testing in integrated circuits (ICs) has emerged as an innovative strategy to optimise and streamline the evaluation of increasingly complex semiconductor devices. By incorporating machine ...

Materials testing is critical in product development and manufacturing across various industries. It ensures that products can withstand tough conditions in their ...

The software development ecosystem is a field of battle where time and money are your rivals. In this industry, testing serves as an important gatekeeper, ensuring software quality reaches clients.

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

Recalls in the food and beverage industry due to contamination incidents can be catastrophic for a company. Not only do companies have to pay fines and damages, but also the impacts on the brand’s ...

NOTE. These are the baseline variables determined at treatment completion and included in the analysis. Abbreviations: CIN, cervical intraepithelial neoplasia; COPD, chronic obstructive pulmonary ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...