We dive into Transformers in Deep Learning, a revolutionary architecture that powers today's cutting-edge models like GPT and BERT. We’ll break down the core concepts behind attention mechanisms, self ...

Bibek Bhattarai details Intel's AMX, highlighting its role in accelerating deep learning on CPUs. He explains how AMX ...

In this paper, we propose a transformer-based MRC-TransUNet framework, which effectively combines the advantages of transformer as well as CNN, reduces the number of parameters of traditional ...