Vector similarity search uses machine learning to translate the similarity of text, images, or audio into a vector space, making search faster, more accurate, and more scalable.

In the first method, I calculated the magnitude of the vector by squaring each component, then adding them together before taking the square root (as this is the definition of magnitude).

A research team led by Associate Prof. Wang Anting from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS) proposed a method for multidimensional ...

NEWARK, Calif., April 28, 2025--Vector Laboratories, a manufacturing partner of reagents and critical components for the development and production of life sciences tools, diagnostics, and ...

This is an expository paper that describes and compares five methods for extrapolating to the limit (or anti-limit) of a vector sequence without explicit knowledge of the sequence generator. The ...