When two-dimensional electron systems are subjected to magnetic fields at low temperatures, they can exhibit interesting ...

KAIST's new control framework lets four-legged robots perform parkour, enabling fast, precise navigation in complex terrains.

It now appears that neural nets may be the next frontier in the advance of computing technology as a whole. But what are ...

Convolutional Neural Networks (ConvNets or CNNs) are a class of neural networks algorithms that are mostly used in visual recognition tasks such as image classification, object detection, and image ...

In the recent years, a novel DL model, named as complex-valued neural network (CVNN), has been applied into SEI methods for directly processing complex baseband signal and improving identification ...

Therefore, we propose an attention-based graph neural network news recommendation model. In our model, muti-channel convolutional neural network is used to generate news representations, and recurrent ...

This is a implementation of High Dimensional Neural Network Potential(HDNNP) designed to reproduce Density Function Theory(DFT) calculation effectively with high flexibility, reactivity. There is ...