Discover the top data engineering tools that will revolutionize DevOps teams in 2026. Explore cloud-native platforms designed for scalable data management, analytics, and machine learning workflows.

UGA's Weather Dawgs use a high-resolution model to create localized forecasts for Athens, improving accuracy for residents.

After ten years of work on a healthcare data infrastructure for research and care projects, things are moving, and industry is also interested.

As automation expands, the most valuable parts of data work are increasingly the ones that depend on human judgment, business context and accountability.

In-demand skills include data analysis. It has been predicted that in 2026 businesses will place a high value on analysts who can extract relevant details and i ...

Gesture control robotics replaces traditional buttons and joysticks with natural hand movements. This approach improves user ...

Python has made using Microsoft Excel much easier than it has ever been, and it isn't very hard to start using it yourself.

A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to patient outcomes using widely available bulk RNA sequencing data. The approach ...

Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain ...

Overview: Artificial intelligence offers faster growth and higher salaries, while data science offers stable, broad career ...

Modern data acquisition software helps engineers collect and analyze testing data faster. Learn how new tools are improving engineering measurement and testing.

MAPS (TM) is GL's protocol simulation and traffic generation platform, and its ED-137 Recorder Emulator application validates VoIP-based recorder interfaces in Air Traffic Management networks.