Nvidia DLSS 4's biggest update just might be its transformer upscaling model rather than the AI-powered multi-frame gen tech ...

Building a Vision Transformer Model From Scratch by Matt Nguyen The self-attention-based transformer model was first introduced by Vaswani et al. in their paper Attention Is All You Need in 2017 and ...

Michael Bay is returning to the Transformers franchise, which could go a number of ways, but it indicates that he could deliver on a key promise.

It’s 2023 and transformers are having a moment. No, I’m not talking about the latest installment of the Transformers movie franchise, “Transformers: Rise of the Beasts”; I’m talking about the deep ...

When the Neighbors Don’t Share Your Vision (and That Vision Involves ‘Transformers’ Statues) A professor decorated a sidewalk in Georgetown with 10-foot sculptures of Bumblebee and Optimus ...

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 ...

Nvidia is updating its computer vision models with new versions of MambaVision that combine the best of Mamba and transformers to improve efficiency.

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 ...

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 ...

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 ...