Nvidia's Transformer model for DLSS has exited the beta stage and will replace the CNN-based approach very soon with DLSS 4.

Nvidia’s latest update to its AI-powered upscaling technology, DLSS 4, has officially moved out of beta with the release of a ...

These components accelerate learning and mitigate issues common in deep neural networks. As transformer blocks stack to constitute a language model, their capacity to discern complex relationships ...

DLSS 4's upgraded Transformer-based AI Super Resolution has exited Beta, which means we'll start seeing it arrive in a lot more games.

As described in that paper and henceforth, a Transformer is a deep learning neural network architecture that processes sequential data, such as text or time-series information.

Andrej Karpathy has spoken of Tesla FSD Beta depending more and more on Transformers, a new Deep Neural Network architecture that has taken the AI world by storm. From OpenAI’s GPT-3 and Dall-e 2, to ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI.

Essential AI Labs Inc., a startup led by two co-inventors of the foundational Transformer neural network architecture, today announced that it has raised $56.5 million from a group of prominent backer ...

In this paper, we propose a transformer-based MRC-TransUNet framework, which effectively combines the advantages of transformer as well as CNN, reduces the number of parameters of traditional ...