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US Patent 11514350 Machine learning driven experimental design for food technology

Patent 11514350 was granted and assigned to NotCo on November, 2022 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
NotCo
NotCo
Current Assignee
NotCo
NotCo
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11514350
Date of Patent
November 29, 2022
Patent Application Number
17307950
Date Filed
May 4, 2021
Patent Citations
‌
US Patent 10970621 Methods to predict food color and recommend changes to achieve a target food color
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US Patent 10984145 Using machine learning to explore formulations recipes with new ingredients
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US Patent 10993465 Method of classifying flavors
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US Patent 11164069 Controllable formula generation
‌
US Patent 11164478 Systems and methods to mimic target food items using artificial intelligence
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US Patent 11373107 Systems and methods to suggest source ingredients using artificial intelligence
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US Patent 11348664 Machine learning driven chemical compound replacement technology
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US Patent 10325181 Image classification method, electronic device, and storage medium
...
Patent Citations Received
‌
US Patent 11982661 Sensory transformer method of generating ingredients and formulas
0
‌
US Patent 11631034 Method of classifying flavors
0
Patent Primary Examiner
‌
George Giroux
CPC Code
‌
G06N 7/005
‌
G06N 20/00
‌
G06N 7/00
‌
G06N 20/10
‌
G06N 20/20

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.

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