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, ...

Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.

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

As the May 26th CE-IVDR compliance deadline comes into effect, Diagnostics.ai launches the industry's first fully-transparent machine learning platform for clinical real-time PCR diagnostics – ...

What if vaccine development didn’t have to take a decade? This piece looks at how AI is helping scientists ask better ...

This system utilizes machine learning algorithms to optimize the operation of particle accelerators, reducing manual intervention and enhancing precision in real-time control. By integrating virtual ...