Empromptu's "golden pipeline" approach tackles the last-mile data problem in agentic AI by integrating normalization directly into the application workflow — replacing weeks of manual data prep with ...

First commercial deployment of APU in European cloud addresses surging AI demand, enabling EU enterprises to accelerate Apache Spark workloads while maintaining full control over dataTEL AVIV ...

A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

In 2026, data leaders must focus on enhancing data foundations rather than feature expansion. That means prioritizing data ...

Borosilicate glass offers extreme stability; Microsoft’s accelerated aging experiments suggest the data would be stable for ...

Detailed price information for Lattice Semicond (LSCC-Q) from The Globe and Mail including charting and trades.

Abstract: The concepts of fog and edge computing are currently applied in the construction of distributed cyber-physical systems in order to reduce the load on the network infrastructure, as well as ...

Abstract: In recent years, brain-computer interfaces (BCIs) leveraging electroencephalography (EEG) signals for the control of external devices have garnered increasing attention. The information ...

Overview Serverless analytics removes the complexity of infrastructure in big data workloads.Scalable Spark and Hive jobs ...

SageX, an AI-native enterprise data platform, today announced its positioning as an early builder of the AI Data transformation Layer, a foundational startup category recently identified by Andreessen ...