Term #2,290
Artificial intelligence model
Claim Term
Artificial intelligence model
Origin matter
A method for screening manuscripts
Reference Case 1
BRT_PAT-2-PROV
Date Added
7/15/25
Created
7/15/25, 5:42 PM
Modified
9/3/25, 9:28 PM
Full Desc
“Artificial Intelligence (AI) Model” refers to a parameterized computational representation configured, when trained, to map input data to output by learning from data and/or rules. An AI model may perform prediction, classification, segmentation, detection, generation, decision-making, or the like. Examples include, without limitation, neural networks (e.g., convolutional, recurrent, transformer, encoder–decoder including U-Net), generative models (e.g., GAN, VAE, diffusion), probabilistic or margin-based models, and tree/ensemble methods. An AI model may be trained using supervised, semi-supervised, self-supervised, unsupervised, or reinforcement learning and may be deployed alone or as a component of an AI system.
Applications using this term
| Matter | Usage | Notes | Actions |
|---|---|---|---|
| BRT-PAT-2-PROV | Defined | — | App terms |