By using machine learning as an image processing technique, scientists can dramatically accelerate the heretofore laborious manual process of quantitatively looking for and at interfaces without having to sacrifice accuracy.

HPCwire’s Readers’ and Editors’ Choice Awards are among the most prestigious recognition given by the HPC community, the only such prizes to open voting to a worldwide audience of end users.

Better predictions of cold air lingering in low-lying areas may help mitigate health risks and prevent damage to wind-powered energy infrastructure.

The U.S. Department of Energy’s Argonne National Laboratory’s Educational Programs and Outreach department hosted Computer Science for All — Coding and Beyond, in December as a part of the Argonne National Laboratory, Chicago, initiative.

A white paper from the International Energy Agency details how hydropower can help ease the global addition of wind and solar to the resource mix on power grids. Argonne’s Audun Botterud offered his expertise as a co-author.