Abstract: This article studies remote sensing image retrieval using kernel-based support vector data description (SVDD). We exploit deep SVDD, which is a well-known method for one-class classification ...

Abstract: Machine Learning and AI approaches have stretched traditional hardware to its limits. In-hardware computing is a novel approach that aims to run Matrix-Vector Multiplication operations ...

This package provides vector store implementations for GraphRAG with support for multiple backends including LanceDB, Azure AI Search, and Azure Cosmos DB. It offers both a convenient ...

In this work, a novel on-line process for production of food-grade emulsions containing oily extracts, i.e. oil-in-water (O/W) emulsions, in only one step is presented. This process has been called ...

This repository contains sample applications demonstrating how to use ScyllaDB for vector search use cases and more complex LLM apps such as retrieval-augmented generation (RAG) and semantic caching.