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.

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 ...

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 ...

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 – ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...