Haverstock & Owens, A Law Corporation
Machine learning driven chemical compound replacement technology
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.
NotCo Delaware, LLC
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Karim Nathan Kavitakumari Isadora Kyohei Aadit
Pichara O'Hara Solanki Nun Kaneko Patel