Dublin, Oct. 21, 2025 (GLOBE NEWSWIRE) -- The "Viral Vector Manufacturing Markets and Technologies Through 2030" report has been added to ResearchAndMarkets.com's offering. The global market for viral ...

Support Vector Machines (SVMs) represent a robust and versatile class of machine learning algorithms that have significantly shaped the fields of pattern recognition, classification, and regression.

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 ...

BERLIN & NEW YORK--(BUSINESS WIRE)--Qdrant, the leading high-performance open-source vector database, today announced the launch of BM42, a pure vector-based hybrid search approach that delivers more ...

Vector databases are the unsung heroes of the modern AI movement, storing unstructured data such as images, videos and text to enable people and systems to search uncategorized content. They are ...

Abstract In this paper, we introduce the concept of a weak q-distance and for this distance we derive a set-valued version of Ekeland's variational principle in the setting of uniform spaces. By using ...

In the age of generative AI (genAI), vector databases are becoming increasingly important. They provide a critical capability for storing and retrieving high-dimensional vector representations, ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--DataStax, the real-time AI company, today announced the general availability (GA) of its vector search capability in Astra DB – the popular database-as-a-service ...