The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

By encoding this data as high-dimensional vectors, vector databases enable efficient storage, retrieval, and analysis. Rapid Discovery and Efficient Organization: ...

Dimensional US Large Cap Vector ETF earns a High Process Pillar rating. The largest contributor to the rating is the parent firm's five-year risk-adjusted success ratio of 81%.

Harper, bringing 'next-level web performance to a digital-first world,' is releasing version 4.6 of its composable application platform, featuring several enterprise-grade components, chief among them ...

Each number in the vector corresponds to a dimension that defines some characteristic of the object. Together, the values of each dimension represent a point in very high-dimensional space.

Vector databases store high-dimensional vector data. Data points are stored in clusters based on similarity. Vector databases deliver the kind of speed and performance needed for generative AI use ...

Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI ...

Vector databases store data using vector embeddings, allowing efficient management of high-dimensional vectors. By leveraging techniques such as sharding and partitioning, these databases ensure ...

High-performance open-source vector database Qdrant has added new enterprise-level security and management tools to its cloud offering, allowing companies to deploy and scale up artificial ...

Enterprise-class vector stores are massive, multi-dimensional databases that not only store vectors but also recognize the relationships between them. When properly designed, they can track ...