We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

With agentic AI, the database must evolve from a passive ledger to an active reasoning engine that informs, guides, and ...

The new distributed graph architecture promises unified transactional and analytical processing, enabling enterprises to scale real-time decision-making for autonomous workflows. Graph database ...

Abstract: Virtual manufacturing, simulation, and optimization provide a wealth of knowledge about the possibilities of future production systems to support decision makers. However, this knowledge ...

Neo4j, the graph database from the US-Swedish company of the same name, is used by 76% of the Fortune 100, and its Australian customers include organisations in the healthcare, policing and banking ...

The Bulgarian graph database startup Graphwise today announced a major upgrade to its flagship GraphDB tool, adding new features aimed at boosting enterprise knowledge management and creating a more ...

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...

What is this book about? Graph neural networks are a highly effective tool for analyzing data that can be represented as a graph, such as social networks, chemical compounds, or transportation ...