Machine learning model with conditional execution of multiple processing tasks
US11699097B2 · kind B2 · utility
1Cited by
4References
22Claims
0Family size
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Key dates
| Filing date | May 19, 2020 |
| Grant date | Jul 11, 2023 |
| Priority date | — |
| Expiry date | May 3, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method includes receiving input data at a trained machine learning model that includes a common part and task-specific parts, receiving an execution instruction that identifies one or more processing tasks to be performed, processing the input data using the common part of the trained machine learning model to generate intermediate data, and processing the intermediate data using one or more of the task-specific parts of the trained machine learning model based on the execution instruction to generate one or more outputs.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.