Visualization is an essential element of any Big Data and analytics strategy. The most up-to-date, real-time information and advanced analytics solutions are an expensive waste of money if you can’t ...

When linguist Lauren Gawne roams the valleys of Nepal documenting endangered Tibetan languages, she takes pains to distinguish each dialect's geographical origin. But when it came to producing maps of ...

Software Defined Visualization (SDVis) has become a mainstream idea: visualization on processors (CPUs) has enormous advantages in flexibility, cost, and performance for large visualizations. While ...

As artificial intelligence (AI) speeds up and simplifies technical tasks, the ability to think creatively and communicate visually will be the competitive edge that sets the next generation of data ...

So I'm curious what kind of visualization software is out there these days. I found a way to route my computer audio through a virtual out/in through VLC to use Goom (Goom really kicks the llamas ass!

Ascending Node Technologies founders, from left to right, Chief Scientist Carl Hergenrother, Chief Software Architect Sanford Selznick, and Chief Aerospace Engineer John Kidd. Credit: Ascending Node ...

The Fall 2026 graduate application deadline is April 15, 2026. Applications or materials received after this deadline will be reviewed on a space-available basis. Applicants must have a bachelor's ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

The Master of Science in Data Analytics and Visualization (DAV) program addresses the growing need for analysts, researchers, developers, designers, mapmakers, usability experts, and other data ...

Advances in visualization are essential for managing—and maximizing value from—the rising flood of data, the growing sophistication of simulation codes, the convergence of machine learning (ML) and ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...