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 ...

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.

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...

Q-FlexiViT is evaluated on standard intrusion-detection datasets containing multiple attack types and normal traffic. Using ...

IRVINE, Calif., Nov. 10, 2025 (GLOBE NEWSWIRE) -- Syntiant Corp., the recognized leader in low-power edge AI deployment, today introduced its dual-use vision transformer (ViT), delivering advanced ...

The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...

An autonomous vehicle must rapidly and accurately recognize objects that it encounters, from an idling delivery truck parked at the corner to a cyclist whizzing toward an approaching intersection. To ...