Techniques for generating natural language descriptions of neural networks
US12026474B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Jul 14, 2021 |
| Grant date | Jul 2, 2024 |
| Priority date | — |
| Expiry date | Jun 17, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/048
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An artificial intelligence (AI) model includes one or more feature models coupled to one or more observer models in a hierarchical fashion. The feature models are configured to process an input to detect different features within that input. The observer models are configured to analyze the operation of the feature models during processing of the input to generate various types of observations. One type of observation includes a natural language expression that conveys how various architectural and/or functional characteristics of a given feature model influence the processing of the input to detect features, thereby exposing the underlying mechanisms via which the given feature model operates.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.