Abstract: The graph neural network-based prediction models have demonstrated remarkable utility in traffic prediction, and their efficacy is highly determined by the quality of the provided graphs.

However, conventional methods often face challenges related to computational cost (explicit solvent) or accuracy (implicit solvent). Here, we showcase how our graph neural network (GNN)-based implicit ...

Zurich, Switzerland – The Hashgraph Group (THG), a Swiss-based global business, venture capital, and technology firm dedicated to the Hedera ecosystem, today announced a strategic investment in AgNext ...

IPFire is a versatile open-source Linux-based firewall that is easy to use and offers high performance in any scenario. IPFire originally started as an IPCop fork but was rewritten from scratch in ...

Plot monthly ice extent anomalies, map sea ice concentration anomalies, and more. Use a map-based interface to spatially compare sea ice extent for any two days or months between 1979 and present. The ...

While the GPU-based platform costs 2.81 USD/hour compared to the CPU-only solution at 1.69 USD/hour, PilotANN achieves 2.3 times cost-effectiveness for DEEP and 3.0-3.2 times for T2I, WIKI, and LAION ...

Unlike previous modulators, which were limited to small-scale demonstrations, the Manchester team integrated graphene-based THz modulators with large-area thin-film transistor (TFT) arrays ...