Exercising artificial intelligence by refining model output
US11429654B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 21, 2018 |
| Grant date | Aug 30, 2022 |
| Priority date | — |
| Expiry date | Dec 8, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10K2210/3024
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The improved exercise of artificial intelligence. Raw output data is obtained by applying an input data set to an artificial intelligence (AI). Such raw output data is sometimes difficult to interpret. The principles defined herein provide a systematic way to refine the output for a wide variety of AI models. An AI model collection characterization structure is utilized for purpose of refining AI model output so as to be more useful. The characterization structure represents, for each of multiple and perhaps numerous AI models, a refinement of output data that resulted from application of an AI model to input data. Upon obtaining output data from the AI model, the appropriate refinement may then be applied. The refined data may then be semantically indexed to provide a semantic index. The characterization structure may also provide tailored information to allow for intuitive querying against the semantic index.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.