Without data, enterprise AI isn't going to be successful. Getting all the data in one place and having the right type of data tools, including connections to different types of databases is a critical ...

In today's data-driven era, the speed and accuracy of information retrieval have become increasingly important. Since I first proposed the EFANNA algorithm during my doctoral studies in 2016, I ...

Abstract: Machine learning has recently seen a significant upsurge in its influence across diverse scientific domains. Among the array of machine learning techniques, the support vector machine (SVM) ...

The QCon AI New York 2025 schedule is now live for its Dec 16-17 event. Focused on moving AI from PoC to production, the ...

Abstract: Achieving distributed reinforcement learning (RL) for large-scale cooperative multiagent systems (MASs) is challenging because: 1) each agent has access to only limited information and 2) ...

Wikimedia Deutschland, operator of Wikidata, opens its structured data as vectorised embeddings for use by LLMs via MCP.

Transform unstructured data (PDFs, DOCs, TXT, YouTube videos, web pages, etc.) into a structured Knowledge Graph stored in Neo4j using the power of Large Language Models (LLMs) and the LangChain ...

Begin redesigning now around human skills and phase out traditional hierarchies. Drill down and find out what your people ...

Even in the realm of scientific research, AI models may only discover correlations within laboratory data, failing to grasp the underlying causes. This reasoning relies not only on the data itself but ...

A comprehensive Retrieval-Augmented Generation (RAG) system with multiple AI capabilities including vector search, hybrid search, step-back prompting, knowledge graph construction, and contract ...