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, ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

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

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

Investing in automated testing and DevOps development services strengthens your software while future-proofing your business.

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 ...

AI fault detection uses waveform analytics and machine learning to identify early electrical failure signatures in distribution systems. Utilities gain predictive insight into incipient faults, asset ...

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