| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_3a671c3eaec8ee36498282239daaf61f |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-10 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16Z99-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-9035
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-12
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-025
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H20-60
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-02
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N5-01
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-02
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-044
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q50-12
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G09B19-0092 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F16-9035
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N33-02
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N33-12
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G09B19-00 |
| filingDate |
2019-05-17-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate |
2021-11-02-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_425483fb11aa719d91272da82d2f7896
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_69a178a3c153c3b68399906af5571bd3
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_568c2f348f1628624fbc3c6affa00826
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_9aa28835c9749478ed1f04536d7258b2 |
| publicationDate |
2021-11-02-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-11164478-B2 |
| titleOfInvention |
Systems and methods to mimic target food items using artificial intelligence |
| abstract |
Systems and methods to mimic a target food item using artificial intelligence are disclosed. The system can learn from open source and proprietary databases. A prediction model can be trained using features of the source ingredients to match those of the given target food item. A formula comprising a combination of most relevant source ingredients and their proportions can be determined using the trained prediction model. A set of existing recipes can be used as a dataset to train a recurrent neural network (RNN) and/or other suitable models. The RNN can be used to determine a recipe to mimic the target food item. The recipe may comprise a cooking process for the set of ingredients in the formula and can be cooked by a chef. The recipe may be further modified as necessary based on human feedback on sensorial descriptors. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11514350-B1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11631034-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11348664-B1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11644416-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11373107-B1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11404144-B1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11741383-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11663683-B2 |
| priorityDate |
2019-05-17-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |