Graph optimisation problems encompass a diverse range of challenges aimed at finding optimal or near‐optimal solutions in networks or graphs. These problems are pivotal in areas such as communication ...
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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 ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...
Memory problems affect virtually everyone at some point in their daily lives, yet people often feel embarrassed or worried when they experience these perfectly normal cognitive hiccups. The human ...
A new technical paper titled “Memory-Centric Computing: Solving Computing’s Memory Problem” was published by researchers at ETH Zurich. “Computing has a huge memory problem. The memory system, ...
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