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 ...

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 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 ...

CHICAGO, Nov. 1, 2023 /PRNewswire/ -- Continued innovation, broad use in a variety of applications, ethical issues, and increased efficiency characterise the Vision Transformers Market's future, ...

Here are our picks for the top 10 edge AI chips with a bright future across applications from vision processing to handling ...

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.

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Transformer-based large language models ...