Diffusion models

{
  "id": "MLC-T-OAG-001082",
  "term": "Diffusion models",
  "field": "Oil and gas",
  "definition": "A class of generative artificial intelligence models that learn to create new data samples by reversing a gradual process of adding noise to data. They start with random noise and iteratively denoise it to produce high-quality outputs, such as images or audio. These models show promise in generating synthetic seismic data or realistic geological formations for training purposes.",
  "subject": "Digital",
  "url": "https://mlchart.com/terminology/oil-and-gas/diffusion-models/"
}