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 ...

The emergence of vector databases and vector search for handling massive quantities of complex data have radically transformed the way AI is implemented and managed. As a specialized approach for ...

Rockset Inc., the startup behind the speedy database of the same name, said today it’s expanding the vector search capabilities of its platform. The new features are intended to enable more rapid ...

Did you know that over 80% of the data generated today is unstructured? Traditional databases often fall short in managing this type of data efficiently. That’s where vector databases come into play.

Today, VectorShift, a startup working to simplify large language model (LLM) application development with a modular no-code approach, announced it has raised $3 million in seed funding from 1984 ...

AI is undoubtedly a formidable capability that poses to bring any enterprise application to the next level. Offering significant benefits for both the consumer and the developer alike, technologies ...

According to MarketsandMarkets™, the Vector Database Market is expected to be worth USD 2,652.1 million in 2025 and reach USD ...

BERLIN & NEW YORK--(BUSINESS WIRE)--Qdrant, the leading high-performance open-source vector database, today introduced its platform-independent GPU-accelerated vector indexing. This new feature ...