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

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.

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 ...

Six members of Facebook AI Research (FAIR) tapped the popular Transformer neural network architecture to create end-to-end object detection AI, an approach they claim streamlines the creation of ...

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 ...

The concepts and jargon you need to understand ChatGPT. By Adam Pasick We’ve compiled a list of phrases and concepts useful to understanding artificial intelligence, in particular the new breed ...

We describe a transformer neural network model that is three times faster, i.e. requiring much shorter time series, for predicting failure than a dilated fully convolutional neural network. Albeit the ...

The Perceiver is kind-of a way-station on the way to what Google AI lead Jeff Dean has described as one model that could handle any task, and “learn” faster, with less data.