Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

A massive computer competition works to identify the patterns that can predict where someone will end up in life. But whether this competition has a winner may depend on your viewpoint.

These signals are the foundation of graph-network-powered detection. Real-time mapping connections between data points make proactive detection possible as the system identifies anomalies, such as ...

The real champions, however, were the rangers who both collected the data on which our analysis was based and helped us build our statistical models. Three rangers working in the Zambezi Valley ...

Companies rely on real-world data to train artificial-intelligence models that can identify anomalies, make predictions and generate insights. But often, it isn’t enough. To detect credit-card ...