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, ...

The small and complicated features of TSVs give rise to different defect types. Defects can form during any of the TSV process steps, which include lithography patterning followed by deep reactive ion ...

For patients taking medications that don't work as expected or pharmaceutical companies struggling with clinical trial ...

From Deep Blue to modern AI, how chess exposed the shift from brute-force machines to learning systems, and why it matters AI ...

Updates to the VersaONE Universal SASE Platform include AI-enhanced data protection, AI-guided troubleshooting, and expanded OS support.

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

AI isn't a single capability, and "using AI" isn't a strategy. The strategy is to know what we're building, why it matters ...

Researchers have significantly enhanced an artificial intelligence tool used to rapidly detect bacterial contamination in ...

As Slide 5 visualizes, our applications manifest as best-in-class hardware and software solutions, whereas platform manifests through connected workflows and ecosystems. By connecting the hardware and ...

Researchers at the University of Michigan have created an AI system that can interpret brain MRI scans in just seconds, accurately identifying a wide range of neurological conditions and determining ...