Dual deep learning architecture for machine-learning systems
US12277759B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 5, 2024 |
| Grant date | Apr 15, 2025 |
| Priority date | — |
| Expiry date | Jan 5, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/16
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Certain aspects involve a machine-learning query system that uses a dual deep learning network to service queries and other requests. In one example, a machine-learning query system services a query received from a client computing system. A dual deep learning network included in the machine-learning query system matches an unstructured input data object, received from the client computing system, to an unstructured reference data object. The matching may include generating an input feature vector by an embedding subnetwork, based on the unstructured input data object. The matching may also include generating an output probability by a relationship subnetwork, based on the input feature vector and a relationship feature vector that is based on the unstructured reference data object. The machine-learning query system may transmit a responsive message to the client system.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.