In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...

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, ...

Machine design engineers working in the medical device field might draw inspiration from AuraWell’s iterative, ...

In essence, PAI is being used for data center optimization to support the demands of digital AI (DAI) applications like ...

A single clear image can rewire the visual brain, making later recognition faster without relying on memory systems.

AI has fundamentally altered how teams think about mobile software, moving the focus from feature accumulation to long-term intelligence.

Virtual tools that can help manufacturers simulate processes on the shop floor are only a valuable if the information being ...

In 2021, a unit of healthcare giant Johnson & Johnson announced “a leap forward”: It had added artificial intelligence to a ...

The actuarial profession is at an inflection point as actuaries focus on sustainability, implementing AI and collaborating ...

AI agents capable of autonomously handling large portions of chip design and verification are less about convenience and more about maintaining a competitive edge in the global economy.

Future AI-guided genomic analysis offers the potential to further optimize gene constructs, expression profiles, and performance traits, accelerating the development of next-generation materials.

A daunting task otherwise, Percepio’s Tracealyzer and Detect are changing the game of debugging embedded systems with ...