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 ...

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

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

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of two-dimensional memories, systems that can reliably store information despite ...

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 ...

Whether a smartphone battery lasts longer or a new drug can be developed to treat incurable diseases depends on how stably the atoms constituting the material are bonded. The core of molecular design ...

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 ...