Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

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 idea that quantum computing could transform medical artificial intelligence (AI) has gained momentum in recent years, driven by advances in cloud-accessible quantum platforms and hybrid computing ...

The small and complicated features of TSVs give rise to different defect types. Defects can form during any of the TSV ...

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

Modern conservation technology has one simple goal, even though achieving it is anything but simple: to spot a threat or ...

This story is part of an AI series looking at how WSU is driving innovation in research and teaching through artificial intelligence. View the entire ...

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

A new topology-based method predicts atomic charges in metal-organic frameworks from bond connectivity alone, making large-scale computational screening practical.

For patients taking medications that don't work as expected or pharmaceutical companies struggling with clinical trial failures, MetaOmics-10T represents a new starting point.

High school students gain PhD-led mentorship, publish original research, and build real-world AI models through ...

As India’s digital footprint expands, more and more people are grappling with non-substance addictions like excessive ...