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

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Graph theory is a powerful tool for addressing problems involving discrete structures, such as determining the shortest length of connected river networks or the shortest distance between connected ...

Security graphs are becoming indispensable for understanding system access and network activity and empowering security teams ...

Additionally, research on planar graphs has yielded new insights into the anti-Ramsey numbers for paths and cycles, thereby bridging classical graph theory with geometric constraints [3].

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...

Researchers at the Carney Institute for Brain Science spill the tea about the complicated mental computations that allow ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

Graph theory analysis, a mathematical approach, has been applied in brain connectivity studies to explore the organization of network patterns. The computation of graph theory metrics enables the ...

“This pioneering interstellar navigation demonstration and its accompanying publication show that a deep-space mission can use its onboard imaging system to find its way among the stars,” added Alan ...

Here we use cryogenic electron microscopy to determine the structure of TbAQP2 from Trypanosoma brucei, bound to either the substrate glycerol or to the sleeping sickness drugs, pentamidine or ...