SK hynix, TetraMem, and the University of Southern California built a memristor-based in-memory computing system-on-chip for ...

PyTorch provides CUDA implementations for all its native functions in order to have ops be speedier on NVIDIA GPU hardware. A good resource to set the stage of how to ...

Abstract: In this study, we propose a novel architecture, the Quantum Pointwise Convolution, which incorporates pointwise convolution within a quantum neural network framework. Our approach leverages ...

U-Net and its variants have been widely used in the field of image segmentation. In this paper, a lightweight multi-scale Ghost U-Net (MSGU-Net) network architecture is proposed. This can efficiently ...

Across the globe, dyslexia and dysgraphia are two frequent learning disorders identified in classrooms. This condition is characterized by difficulties in age-appropriate reading without any ...

Abstract: Deep learning has become popular in recent years primarily due to powerful computing devices such as graphics processing units (GPUs). However, it is challenging to deploy these deep models ...

In seismic exploration, dense and evenly spatial sampled seismic traces are crucial for successful implementation of most seismic data processing and interpretation algorithms. Recently, numerous ...

1 School of Information and Control Engineering, Liaoning Petrochemical University, Fushun, China. 2 Shenyang Agricultural University, Shenyang, China. Helmets are one of the important measures to ...