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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 ...
A research team has developed a new technology that enables to process a large-scale graph algorithm without storing the graph in the main memory or on disks. A KAIST research team has developed a new ...
A context graph could capture the full context, reasoning, and causal relationships behind critical business decisions. It’s a powerful idea. A December 2025 paper from Silicon Valley venture capital ...
Long-horizon reasoning exposes a core weakness in AI agents: context windows fill up fast, and retrieval pipelines return noise instead of signal. To solve this, researchers at the National University ...
Choosing between DDR5 and LPDDR5X in 2026? Learn the key differences in speed, power efficiency, and upgradeability ...
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