Methods for designing hybrid neural networks having physical and digital components
US11604957B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 20, 2019 |
| Grant date | Mar 14, 2023 |
| Priority date | — |
| Expiry date | May 25, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/0985
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for designing a hybrid neural network comprising at least one physical neural network component and at least one digital neural network component. A loss function is defined within a design space composed of a plurality of voxels, the design space encompassing one or more physical structures of the at least one physical neural network component and one or more architectural features of the digital neural network. Values are determined for at least one functional parameter for the one or more physical structures, and the at least one architectural parameter for the one or more architectural features, using a domain solver to solve Maxwell's equations so that a loss determined according to the loss function is within a threshold loss. Final structures are defined for the at least one physical neural network component and the digital neural network component based on the values.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.