What is vector search and how is it transforming the search experience? Edo Liberty, CEO of Pinecone and former head of Amazon's AI lab, explains. We’ve been talking with search industry pros and ...

Companies sit on a lot of unstructured data and often don’t have the capabilities to get much out of it. Now imagine having a way to store data and actually be able to ask it questions, for example, ...

We caught wind of the “Aurora” Vector Engine vector processor and the “Tsubasa” system from NEC that makes use of it ahead of the SC17 supercomputer conference, and revealed everything we could find ...

Built by the team behind Amazon SageMaker. Having attracted investment by Wing Venture Capital, with Wing's Founding Partner and early Snowflake investor, Peter Wagner, joining startup Pinecone's ...

Unity Software Inc. U enhanced and expanded its digital platform capabilities by launching Unity Vector in early 2025. Vector is a new AI-powered advertising platform that utilizes self learning AI ...

A Scalable Vector Database, a cutting-edge solution, is meticulously designed to efficiently manage high-dimensional vector data. Unlike traditional databases that handle data types such as strings ...

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 ...

Seymour Cray loved vector supercomputers, and made the second part of that term a household word because of it. NEC, the last of the pure vector supercomputer makers, is so excited about its new ...

Support Vector Machines (SVMs) have become a cornerstone of machine learning, widely adopted for their robustness in classification and regression tasks across diverse fields ranging from remote ...