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 ...

Cultured neural tissues have been widely used as a simplified experimental model for brain research. However, existing devices for growing and recording neural tissues, which are manufactured using ...

This project develops a neural network to predict car fuel efficiency (MPG) using the Auto MPG dataset, featuring data preprocessing, model training with PyTorch, and custom prediction capabilities.

This library provides PyTorch implementations of tensor-train decomposed neural network layers that can significantly reduce the number of parameters in deep neural networks while maintaining accuracy ...

Abstract: The key node identification method based on graph neural network (GNN) is a new network analysis technology, which aims to identify the key nodes in complex networks by deep learning means.