A new framework integrates graph databases with real-time machine learning to enhance fraud detection and risk control in digital finance. By ...

Data models and query languages are admittedly somewhat dry topics for people who are not in the inner circle of connoisseurs. Although graph data models and query languages are no exception to that ...

Graph databases hold numerous attractions for financial services users, among them the ability to detect hidden patterns in data that could be harder to spot otherwise. Some financial institutions are ...

Graph database developer Neo4j Inc. is upping its machine learning game today with a new release of Neo4j for Graph Data Science framework that leverages deep learning and graph convolutional neural ...

Science and data are interwoven in many ways. The scientific method has lent a good part of its overall approach and practices to data-driven analytics, software development, and data science. Now ...

LONDON--(BUSINESS WIRE)--Relation Therapeutics, the pioneer of drug discovery using active-graph machine learning (ML) combined with single-cell analysis and deep clinical insights, announced today ...

Bringing knowledge graph and machine learning technology together can improve the accuracy of the outcomes and augment the potential of machine learning approaches. With knowledge graphs, AI language ...

South African artificial intelligence (AI) company Locstat has raised €2.5 million (US$2.3 million) in a pre-Series A funding ...

Graphs are a ubiquitous data structure and a universal language for representing objects and complex interactions. They can model a wide range of real-world systems, such as social networks, chemical ...

The founders of machine learning community Kaggle are trying to upend the crowded sales prospecting market with AI. And ...