The stochastic nature of single-molecule charge transport measurements requires collection of large data sets to capture the full complexity of a molecular system. Data analysis is then guided by ...

The AI boom has launched numerous conversations on what's possible as more people grasp AI’s ability to transform the workplace, the economy and society at large. However, as the buzz around this ...

Vector time series data are widely met in practice. In this paper we propose a multivariate functional-coefficient regression model with heteroscedasticity for modelling such data. A local linear ...

One of the common debates in the AI circles is whether using graph or vector databases offers more truthful information in generative AI (GenAI) applications. While graph data is great at representing ...

A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs. I ...

There’s been a debate of sorts in AI circles about which database is more important in finding truthful information in generative AI applications: graph or vector databases. AWS decided to leave the ...

Vast Data has announced an agentic AI application environment – the Vast AgentEngine – for its data management stack, which ultimately rests on its Vast Data Store storage subsystem family. The move ...