Systems and methods for machine learning based product design automation and optimization
US12277370B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 11, 2021 |
| Grant date | Apr 15, 2025 |
| Priority date | — |
| Expiry date | Dec 27, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2111/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Aspects of the present disclosure provide systems, methods, and computer-readable storage media that support optimized product design processes. During the design process, information identifying a set of features for a product design are received and evaluated against machine learning logic to identify a set of components that includes components corresponding to the set of features. One or more candidate components may be identified as alternatives to one or more set of components based on the characteristics, and modifications to optimize (e.g., reduce cost, weight, etc.) the set of components may be determined based on at least one design metric and the one or more candidate components. A final set of components that are optimized with respect to the at least one design metric may be output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.