The concept of knowledge graphs arose from scientific advances in a variety of research fields, including the semantic web, databases, natural language processing, and machine learning. According to ...

Overview: Data Science is broader and focuses on extracting insights, whereas machine learning is a subset that focuses on predictive algorithms.Data Science sp ...

Graph data, e.g., social and biological networks, financial transactions, knowledge graphs, and transportation systems are pervasive in the natural world, where nodes are entities with features, and ...

Ensuring machine learning models are trustworthy is no easy task but it is essential as use of these models becomes ubiquitous across society, writes Dr Adrian Byrne. The importance of ensuring that ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

RIT computing students and Professor Rui Li are working on a National Institutes of Health-funded project to use AI in ...