Smarter AI agents need smarter data. Knowledge graphs can help by providing a shared data foundation that enables agents to ...

Text Chunking: Automatically splits large documents into manageable chunks for processing Knowledge Extraction: Uses AI to identify entities and their relationships Entity Standardization: Ensures ...

Launched earlier in April this year, find out whether the Royal Enfield Hunter 350, still delivers its signature edge or has ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

This paper studies the computational offloading of CNN inference in dynamic multi-access edge computing (MEC) networks. To address the uncertainties in communication time and edge servers’ available ...

Scientists say the Universe has no edge, but that doesn't mean it's infinite. A Manchester astrophysicist explains what we ...

Graph neural networks (GNNs) have emerged as a popular strategy for handling non-Euclidean data due to their state-of-the-art performance. However, most of the current GNN model designs mainly focus ...