Machine learning driven chemical compound replacement technology
US11348664B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 17, 2021 |
| Grant date | May 31, 2022 |
| Priority date | — |
| Expiry date | Jun 17, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16C20/30
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques to suggest alternative chemical compounds that can be used to recreate or mimic a target flavor using artificial intelligence are disclosed. A neural network based model is trained on source chemical compounds and their corresponding flavors and odors. The neural network-based model learns compound embeddings of the source chemical compounds and a target chemical compound of a food item. From the compound embeddings, one or more chemical compounds that are closest to the target chemical compound may be determined by a distance metric. Each suggested chemical compound is an alternative that can be used to recreate functional features of the target chemical compound.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.