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 ...

Vision AI Has Moved Beyond CNNs—Now What? Convolutional Neural Networks (CNNs) have long dominated AI vision, powering applications from automotive ADAS to face recognition and surveillance. But the ...

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...

Vision transformers (ViTs) are powerful artificial intelligence (AI) technologies that can identify or categorize objects in images -- however, there are significant challenges related to both ...

Syntiant Corp., the recognized leader in low-power edge AI deployment, today introduced its dual-use vision transformer (ViT), delivering advanced target or vehicle detection, zero-shot classification ...

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 ...