Grass-roots initiatives such as the 1000 Functional Connectomes Project (FCP) and International Neuroimaging Data- sharing Initiative (INDI) [1] are successfully amassing and sharing large-scale brain ...

The Army shuttered U.S. Army South last week and rolled its troops into the service’s new Western Hemisphere Command as part of a major reorganization spearheaded by Defense Secretary Pete Hegseth.

Enterprise teams increasingly rely on AI systems for analytics, but enterprise data workflows are often fragmented across storage systems and tools. Before analysis can begin, teams often need to ...

Google plans to invest an additional $9 billion in Virginia through the end of 2026, with much of the funding going toward the development of a new data center in Chesterfield County, Gov. Glenn ...

May 7 (Reuters) - Nvidia (NVDA.O), opens new tab will invest up to $2.1 billion in data center operator IREN (IREN.O), opens new tab, as part of a broader deal to deploy up to 5 ‌gigawatts of ...

Middlesex Township supervisors gave several important approvals to the Pax-1 Data Center outside Carlisle Wednesday night. But a possible legal hurdle to the project - south central Pennsylvania’s ...

Neuroimaging presents us with an in-depth understanding about brain structure and function, yet the data complexity poses significant analytical challenges. Current frameworks suffer from issues such ...

Editor's note: This is the first of three feature articles Ars is publishing to explore the financial, technical, and competitive dimensions of orbital data centers. Although the idea of putting data ...

In an exclusive interview, Google’s new AI infrastructure chief says the tech giant has a “significant investment” planned. At current levels, Forbes projects it could be a very big number indeed.

New GPU-powered system cuts genome processing time from hours to minutes, unlocking large-scale genetic discovery. Ecotone would like to share Embarrassingly_FASTA, a new systems-level genome ...

Abstract: Data preparation is essential for boosting machine learning model's performance by increasing data quality and lowering noise. This study evaluates the impact of preprocessing on key ...