In the News

New Argonne machine learning models will open the possibility for real-time experiment feedback critical to understanding materials.

Researchers from Argonne and SLAC have demonstrated the ability to use beamline data from live experiments to train machine learning (ML) models on remote supercomputers and deploy the results on edge devices at beamlines, enabling near-real-time data processing.

Funding from the National Science Foundation and the Chan Zuckerberg Initiative (CZI) will support parallel programming enabler Parsl as it enters a new phase of sustainability, community, and outreach.

As the scale of scientific research grows larger, so too do the barriers. Data-intensive and computation-heavy work across all fields can benefit from parallel computing and high-performance resources, but not everyone knows how to scale up from a laptop to a supercomputer.

Ian Foster, a pioneer in cloud and high-performance computing, was named the 2022 recipient of the Ken Kennedy Award, bestowed annually by the Association for Computing Machinery (ACM) and the Institute of Electrical and Electronics Engineers (IEEE).

In a wide-ranging discussion on data security this month at the Bio-IT World Conference and Expo, panelists dug into how the data we have can be better positioned to inform research in the future—and what that means for both patients and researchers.