Abstract: Successful integration of deep neural networks (DNNs) or deep learning (DL) has resulted in breakthroughs in many areas. However, deploying these highly accurate models for data-driven, ...

Abstract: Transformer-based models are state-of-the-art for many machine learning (ML) tasks. Executing Transformer usually requires a long execution time due to the large memory footprint and the low ...

Supersonic shocks in the vicinity of Jupiter suggest that transient plasma structures could govern the acceleration of particles travelling through space. Read the paper: Relativistic electron ...