Patent · US Active

Machine learning driven experimental design for food technology

US11514350B1 · kind B1 · utility

5Cited by
17References
21Claims
0Family size

Assignee

Inventors

Key dates

Filing dateMay 4, 2021
Grant dateNov 29, 2022
Priority date
Expiry dateMay 4, 2041

Classification

  • Technology area (CPC A)Human Necessities
  • CPC primaryA23P30/00
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

Techniques to generate experiment trials using artificial intelligence are disclosed. A training set for an experiment generator is continuously built up by using assessed experiment trials. The experiment generator is optimized using one of a plurality of optimization algorithms, depending on which mode experiment generator is to run in for an experiment. The mode is dependent on the experiment mode of the experiment. The experiment generator generates a batch of one or more experiment trials for the experiment. Any of the generated experiment trials may be tried or experimented by a user and may be updated with assessment data as an assessed experiment trial.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.