We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP) ...

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. Suppose you wanted to ...

Despite the aggressive cost claims and dramatic scale improvements, AWS is positioning S3 Vectors as a complementary storage tier rather than a direct replacement for specialized vector databases.

A standard theorem concerning the decomposition of a representation of a compact group on a Hilbert space $E$ is generalized to the case when $E$ is locally convex ...

Is the inside of a vision model at all like a language model? Researchers argue that as the models grow more powerful, they ...

Representation theory was initially dismissed. Today, it’s central to much of mathematics. When representation theory emerged in the late 19th century, many mathematicians questioned its worth. In ...