Vision Transformers, or ViTs, are a groundbreaking learning model designed for tasks in computer vision, particularly image recognition. Unlike CNNs, which use convolutions for image processing, ViTs ...

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 ...

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 ...

Transformers, first proposed in a Google research paper in 2017, were initially designed for natural language processing (NLP) tasks. Recently, researchers applied transformers to vision applications ...

Syntiant Corp. has announced the upcoming demonstration of its multimodal vision transformer (ViT) security solution, which will debut at ISC West 2025. This cutting-edge system, designed for ...

Highly Efficient Vision Model Enables Cloud-Free Image and Text-Based Searches Across Multi-Camera Setups in Real Time IRVINE, Calif., April 02, 2025 (GLOBE NEWSWIRE) -- Syntiant Corp., the recognized ...

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