A proposed data center project in Northern Virginia’s Prince William County is stoking debate between local residents, ...

Cluster analysis can be perceived as a problem of grouping data points according to their mutual similarity. Clustering quality largely depends on choosing an effective distance metric, especially ...

China is pulling ahead of the rest of the world in sinking data centers that power AI into the ocean as an alternate way to ...

Mark Zuckerberg on Monday said he plans to invest “hundreds of billions of dollars” into artificial intelligence ...

PQS by Innovaccer Receives NCQA Data Aggregator Validation Status, Earns Validated Data Stream Designation Provided by Business Wire Jul 10, 2025, 5:30:00 AM ...

Pharmacy Quality Solutions (PQS), an Innovaccer company and leader in pharmacy-payer performance technology, today announced that it has received the Validated Data Stream designation from the ...

The Graph and TRON integration introduces real-time data streaming, enabling developers access to live blockchain insights and analytics.

Cell clustering serves as a key task in transcriptomic data analysis, playing a crucial role in cell type annotation, marker gene identification, and the discovery of rare cell populations. With ...

Traditional clustering methods often fail when faced with complex, non-linear data patterns. This is where density-based clustering comes into play.

Data stream clustering reveals patterns within continuously arriving, potentially unbounded data sequences. Numerous data stream algorithms have been proposed to cluster data streams. The existing ...