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, ...

In order to build the computers and devices of tomorrow, we have to understand how they use energy today. That's harder than ...

Lei Fang, assistant professor in the Department of Civil and Environmental Engineering at the University of Pittsburgh ...

Non-terrestrial networks have their own challenges that cellular networks didn't have. Will AI help solve them dynamically?

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

You've probably heard about Arduino and Raspberry Pi. Both show up in maker forums, both get recommended for electronics projects, and both have passionate communities. So which one do you actually ...

Better understanding of the design, implementation and operation of these cyber-physical systems can enable optimized process ...

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...

Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized energy management. Yet as renewable penetration rises, maintaining stable ...

Find out why the most important career in the 2026 AI revolution is data engineering. Discover the technologies that drive ...