The book will also be useful for data scientists and machine learning developers who want to build ML-driven graph databases. A beginner-level understanding of graph databases and graph data is ...

There isn’t a well-accepted delineation between what is definitely AI and what is definitely not AI. This is because there isn’t a well-accepted and standard definition of what is artificial ...

Researchers are developing a way to incorporate one of the most human of characteristics -- uncertainty -- into machine learning systems.

According to Franco Nori, "Machine learning can play a pivotal role in addressing large-scale quantum computation and optimization challenges.

This article explores what knowledge graphs are, why they are becoming a favourable data storage format, and discusses their potential to improve artificial intelligence and machine learning ...

Best Practices in What’s Ahead in AI, Machine Learning, and Knowledge Graphs Understanding, Knowing, and Connecting via Knowledge Graphs Knowledge graphs grant us new and different ways of visualizing ...

Salesforce Research: Knowledge graphs and machine learning to power Einstein Explainable AI in real life could mean Einstein not just answering your questions, but also providing justification.

GraphChem is an open source Python package for constructing graph-based machine learning models with a focus on fuel property prediction.

Researchers are embarking on a pioneering endeavor to integrate an innately human characteristic, which is "uncertainty," into machine learning systems. This venture offers potential benefits in ...