Deepfakes are simple to make. A simple overview of the artificial intelligence (AI) behind deepfakes: Generative Adversarial Networks (GANs), Encoder-decoder pairs and First-Order Motion Models.

Neural networks are included in an overall generative AI architecture that enables remarkably fast and very powerful use of a large language model – this LLM is the source, but it’s the neural ...

Generative artificial intelligence (GenAI) models are powerful AI platforms that generate various outputs based on massive training data sets, neural networks, deep learning architecture, and user ...

In the world of particle physics, where scientists unravel the mysteries of the universe, artificial intelligence (AI) and ...

A new publication from Opto-Electronic Advances, 10.29026/oea.2023.220148 discusses the direct field-to-pattern monolithic design of holographic metasurface via residual encoder-decoder ...

It’s called the “generative network.” A second algorithm, also usually a neural network, evaluates the quality of the solution by comparing it to other realistic answers. This is often ...

Transformers are a type of neural network architecture that was first developed by Google in its DeepMind laboratories. The tech was introduced to the world in a 2017 white paper called 'Attention ...