Open-source vector database startup Qdrant Solutions GmbH today announced three new enterprise-grade capabilities on its ...
BofA reveals what could happen to Alphabet shares.
Everyone’s been watching the wrong pipe. The synthetic content is already in the retrieval layer, and the answer engines are ...
Abstract: Influence Maximization (IM) is to select a subset of nodes from a social network such that the number of nodes influenced by this subset will be maximized. Due to the growing size of social ...
An experiment in composite AI thinking began with a simple premise: submit the same prompt to three frontier models — ChatGPT ...
A study on vector database and AI integration identifies unstable indexing, weak cross-modal fusion, and rigid resource ...
turboquant-py implements the TurboQuant and QJL vector quantization algorithms from Google Research (ICLR 2026 / AISTATS 2026). It compresses high-dimensional floating-point vectors to 1-4 bits per ...
Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...
In an increasingly automated environment, paid search performance is constrained by a simple reality: Algorithms can only optimize toward the signals they’re given. Improving those signals remains the ...
When you type a query into a search engine, something has to decide which documents are actually relevant — and how to rank them. BM25 (Best Matching 25), the algorithm powering search engines like ...
TL;DR: KIOXIA's AiSAQ technology, combined with NVIDIA's cuVS Library, enables efficient scaling of high-dimensional vector searches to 4.8 billion vectors on a single server, achieving up to 20X ...
SAN JOSE, Calif.--(BUSINESS WIRE)--Kioxia America, Inc. today announced the successful demonstration of high-dimensional vector search scaling to 4.8 billion vectors on a single server using its ...
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