In the last decade, convolutional neural networks (CNNs) have been the go-to architecture in computer vision, owing to their powerful capability in learning representations from images/videos.

The self-attention-based transformer model was first introduced by Vaswani et al. in their paper Attention Is All You Need in 2017 and has been widely used in natural language processing. A ...

3D illustration of high voltage transformer on white background. Even now, at the beginning of 2026, too many people have a sort of distorted view of how attention mechanisms work in analyzing text.

The transformer model improved F1 score by 13% and pinpoints apnea events to one second, offering a more efficient path than ...