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, ...

Researchers developed a machine learning model that predicts high-yield antibody-producing cell lines early in manufacturing, ...

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

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 ...

Artificial intelligence (AI) has rapidly become one of the most frequently referenced concepts in high-performance sport. It is discussed in recruitment, in training planning, in tactical ...

As instigators of immunity, monoclonal antibodies are marvels of modern medicine, lab-made proteins that can treat cancers, autoimmune diseases, and many other conditions.

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

The Camp Lejeune-based 10th Marine Regiment, 2nd Marine Division, holds its semi-annual field artillery and live-fire ...

The result is Humanity’s Last Exam (HLE). The dramatically titled test is 2,500 questions, crowdsourced from more than 1,000 ...

How will you know your AI agent is ready to launch? Here’s the release-readiness checklist every devops team needs.

According to the working group, the pilot is intended to test whether the tool can effectively explain how insurers manage AI ...