Techniques for facilitating bridging of nfts across different blockchains and orchestrating cross-chain functions
US-2025156828-A1 · May 15, 2025 · US
US12586141B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12586141-B2 |
| Application number | US-202318529477-A |
| Country | US |
| Kind code | B2 |
| Filing date | Dec 5, 2023 |
| Priority date | Dec 19, 2022 |
| Publication date | Mar 24, 2026 |
| Grant date | Mar 24, 2026 |
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An NFT issuing system that issues an NFT related to digital content generated by inference by AI, includes an NFT issuing unit that issues an NFT including information of a learned model used to generate the digital content and a parameter given to the learned model at the time of inference.
Opening claim text (preview).
What is claimed is: 1 . A non-fungible token (NFT) issuing system that issues an NFT related to digital content generated by inference by artificial intelligence (AI), wherein the system comprising: a parameter acquisition unit configured to acquire a parameter to be given to a learned model at a time of inference when the digital content is reproduced by the AI, or determine, based on a predetermined rule, a parameter to be given to a learned model at a time of inference when the digital content is reproduced by the AI; and an NFT issuing unit configured to issue the NFT, a smart contract of the NFT including information of the learned model and the parameter, wherein the parameter includes at least one of (i) a seed value used at a time of inference, (ii) a parameter for determining an output format of the digital content or an inference algorithm, and (iii) a parameter for determining the content of an inference result; an inference processing unit configured to acquire the learned model and the parameter from the NFT, and generate the digital content by inference by AI on a basis of the learned model and the parameter that have been acquired. 2 . The NFT issuing system according to claim 1 , wherein the NFT issuing unit stores at least a part of the parameter in a storage, and issues the NFT, the smart contract of the NFT including link information to the parameter instead of the parameter. 3 . The NFT issuing system according to claim 1 , wherein the NFT issuing unit issues the NFT, the smart contract of the NFT including meta information for identifying the parameter instead of a value for at least a part of the parameter. 4 . The NFT issuing system according to claim 3 , further comprising: an inference processing unit configured to acquire the learned model and the parameter from the NFT, complements a value of the parameter by a predetermined method on a basis of the meta information, and generate the digital content by inference by AI on a basis of the learned model and the parameter that have been acquired. 5 . The NFT issuing system according to claim 1 further comprising: an inference processing unit configured to compare desired first digital content with second digital content generated by inference by AI on a basis of the learned model and the parameter acquired from the NFT, and output that an owner of the first digital content is an owner of the NFT when the first digital content is identical to the second digital content. 6 . A method of issuing a non-fungible token (NFT) related to digital content generated by inference by artificial intelligence (AI), the method comprising: acquiring a parameter to be given to a learned model at a time of inference when digital content is reproduced by the AI, or determining, based on a predetermined rule, a parameter to be given to a learned model at a time of inference when the digital content is reproduced by the AI; and issuing the NFT, a smart contract of the NFT including information of the learned model and the parameter, wherein the parameter includes at least one of (i) a seed value used at a time of inference, (ii) a parameter for determining an output format of the digital content or an inference algorithm, and (iii) a parameter for determining the content of an inference result; and acquiring the learned model and the parameter from the NFT, and generating the digital content by inference by AI on a basis of the learned model and the parameter that have been acquired.
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