Why Have Vision Transformers Taken Over? CNNs process images bottom-up, detecting edges and features progressively until a full object is classified. This works well for clean, ideal images, but ...

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 ...

FEMI, an AI model for IVF, uses 18 million images to improve embryo assessment, offering a non-invasive, cost-effective ...

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 ...

These new SoCs provide the industry’ s most power- and cost-efficient option for running the latest multi-modal vision-language models and vision-transformer networks.