- 专利标题: Machine learning driven chemical compound replacement technology
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申请号: US17351069申请日: 2021-06-17
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公开(公告)号: US11348664B1公开(公告)日: 2022-05-31
- 发明人: Kyohei Kaneko , Nathan O'Hara , Isadora Nun , Aadit Patel , Kavitakumari Solanki , Karim Pichara
- 申请人: NotCo Delaware, LLC
- 申请人地址: CL Santiago
- 专利权人: NotCo Delaware, LLC
- 当前专利权人: NotCo Delaware, LLC
- 当前专利权人地址: CL Santiago
- 代理机构: Haverstock & Owens, A Law Corporation
- 主分类号: G01N33/48
- IPC分类号: G01N33/48 ; G01N33/50 ; G16C20/70 ; G16C20/20 ; G06N3/08 ; G16C20/40 ; G06N3/04 ; G16C20/50 ; G16B40/00 ; G16B99/00
摘要:
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.
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