Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

The vector database market is experiencing rapid growth, with projections estimating it will reach $10.6 billion by 2032, ...

In addition to some statistical methods, machine learning algorithms ... neighbors (KNNs), support vector machine (SVM), and multilayer perceptron (MLP). These models were implemented on four ...

Getting retrieval-augmented generation right requires a deep understanding of embedding models, similarity metrics, chunking, ...

Abstract: Support Vector Machines (SVMs ... we develop a novel defense algorithm that improves resistance against such attacks. Local Intrinsic Dimensionality (LID) is a promising metric that ...

Search engines have come a long way from relying on exact match keywords. Today, they try to understand the meaning behind ...

Findings indicate a 187.15 kiloton decline in carbon storage due to mining, stressing the importance of ecological restoration for regional climate resilience.

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...

A public preview of SQL Server 2025 adds new vector capabilities already found in rival databases, along with JSON support ...

The investing world has a significant problem when it comes to data about small and medium-sized enterprises (SMEs). This has nothing to do with data quality or accuracy — it’s the lack of any data at ...

Bring AI to your database! Learn how to build smarter apps with vector search in SQL Server & Azure Cosmos DB -- no extra AI ...