Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Over 70 million people in the U.S. are impacted by hearing loss, and age-related hearing loss is the second most common ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Accurate traffic prediction is crucial for an intelligent traffic system (ITS). However, the excessive non-linearity and complexity of the spatial-temporal correlation in traffic flow severely limit ...

Abstract: With recent advances in sensing technologies, a myriad of spatio-temporal data has been generated and recorded in smart cities. Forecasting the evolution patterns of spatio-temporal data is ...

Network modeling is a powerful alternative in computational biology for deciphering valuable and novel insights into complex molecular interactions and functions of biological systems (Guzzi and Roy, ...

Abstract: Cyberbullying is a malady of social media, and its automatic detection is critically important considering its virulence, velocity of spreading, and the scale of the havoc it can wreak.

DGFraud-TF2 is a Graph Neural Network (GNN) based toolbox for fraud detection. It is the Tensorflow 2.X version of DGFraud, which is implemented using TF 1.X. It integrates the implementation & ...