Unlike traditional databases, knowledge graphs organize information as nodes and edges, making them better for AI systems that reason & infer.

Graphs, visual representations outlining the relationships between different entities, concepts or variables, can be very ...

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

The rapid evolution of Adaptive Education highlights the necessity of personalized learning paths that cater to the unique cognitive styles, preferences, and capabilities of each student. Traditional ...

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The research introduces a deep learning system that combines convolutional neural networks (CNNs) with knowledge graph theory to improve risk identification ... 12 of which had documented credit ...