EDA produces a lot of data, but how useful is that for AI to consume? The industry looks at new ways to help AI do a better job.

Let's discuss why AI-powered data management is becoming essential in industrial automation and how organizations can build it successfully.

Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...

The promise of Industry 5.0 can be realized by breaking down data silos and reimagining technology architectures to enable ...

The ISA-112 Part 1 standard provides a framework for modernizing supervisory control and data acquisition systems and making them easier to design, build, operate and maintain.

Researchers at College of Food, Agricultural and Natural Resource Sciences are using AI to detect patterns across landscapes, atmospheres and ecosystems at scales that were previously impossible.

Beyond dashboards building data enables Stanford Health Care to deliver actionable, explainable insights for precision medicine workflows.

This is one example of the way the service’s Transformation-in-Contact model is helping to shape new technology, courtesy of ...

Journal Sentinel readers sent more than 300 questions about data centers in Wisconsin. Here is a summary of the most common questions and answers.

More than 200 Soldiers, civilians, and technologists from across the Army came together last week for Vantage Edge, a ...

Once seen as a simple workhorse, rooftop units are becoming intelligent building assets — changing how contractors install, ...

IData, software developed by an Endicott-based team, will be used in NASA's Artemis 2 mission carrying astronauts around the moon.