A different way to evaluate the ease of porting an AI model to certain hardware.

Abstract: Fault diagnosis is critical to flight safety for multirotor uncrewed aerial vehicles (UAVs). While graph neural networks (GNNs) have shown validity in modeling complex structural data, ...

在充满不确定性的现实世界里，AI的价值不在于预设规则，而在于持续学习和适应 AI ...

Department of Chemistry and Chemical Engineering, Education and Research Center for Smart Energy and Materials, Inha University, Incheon 22212, Republic of Korea ...

Abstract: A Graph Neural Network (GNN) for learning beamforming in Pinching Antenna SyStems (PASS) is proposed, which is called GPASS. The GPASS is with a staged architecture, where the positions of ...

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jcim.5c01525. Efficiency analysis of different normalization strategies ...

Google published details of a new kind of AI based on graphs called a Graph Foundation Model (GFM) that generalizes to previously unseen graphs and delivers a three to forty times boost in precision ...

MAGNET is implemented in Python 3.10 and is supported on both Linux and Windows. It should work on any operating system that supports Python. The implementation has been tested on both GPU and CPU ...