Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
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New framework reduces memory usage and boosts energy efficiency for large-scale AI graph analysis
BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at the ...
The research project promises more efficient long-term recall by organizing knowledge around abstractions and cue-based ...
AI systems are the ultimate amnesiacs. Despite an impressive ability to generate text, code, music, and more, they’re limited by the prompt immediately in front of them. Ask ChatGPT about a recipe it ...
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