DNA-Encoded Blockchain Minting Using AI-ML for Faster Retrieval
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Solution Overview
Problem
There is a need to develop systems and methods for producing blockchains based on information stored in a DNA storage apparatus, leveraging the advantages of DNA storage such as high data density, long storage times, low energy consumption, and multiple encryptions, while also addressing the challenge of slower data retrieval in DNA synthesis.
Innovation Solution
A method, apparatus, and system that utilize generative artificial intelligence (AI) and machine learning (ML) to synthesize DNA sequences, leveraging quantum computing's Grover's search algorithm for rapid block creation and validation, enabling the production of a distributed blockchain of transactions by encoding user requirements into DNA nucleotide sequences and using smart contracts to mint blocks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If DNA storage is used for blockchain data storage, then data density and storage duration are improved, but data retrieval speed deteriorates
Solution Approach 1:
The patent pre-processes and organizes DNA-encoded blockchain data during the synthesis phase, creating an optimized structure that enables faster retrieval. The blockchain transactions are encoded into DNA sequences with specific structural arrangements that facilitate efficient searching and decoding, addressing the retrieval speed issue while maintaining high data density.
2Duration of action of stationary object
If DNA storage is used for blockchain data storage, then storage duration and energy consumption are improved, but data retrieval speed deteriorates
Solution Approach 1:
The patent introduces an intermediary decoding layer between the DNA storage medium and the blockchain system. This intermediary component translates DNA sequences into readable blockchain data efficiently, bridging the gap between the stable long-term storage capability of DNA and the speed requirements of blockchain operations.
3Ease of manufacture
If traditional DNA synthesis methods are used, then manufacturing simplicity is maintained, but productivity deteriorates
Solution Approach 1:
The patent replaces traditional mechanical DNA synthesis and sequencing methods with computational approaches. AI-ML models predict and generate DNA sequences corresponding to blockchain transactions, while quantum computing algorithms accelerate the decoding process, significantly improving productivity without requiring complex physical manipulation of DNA molecules.
Data Source
AI summary
A method, apparatus, and system for minting blockchain transactions, leveraging generative artificial intelligence (“AI”), based on information stored in a deoxyribonucleic acid (“DNA”) storage apparatus is provided. The method, apparatus, and system may include receiving a request to execute a transaction from a generative AI user prompt interface. The method, apparatus, and system may include, in response to receipt of the request, analyzing the request to identify user requirements associated with the request, generating a smart contract for each of the user requirements, and converting each of the user requirements to a binary code. The method, apparatus, and system may include synthesizing a DNA sequence including nucleotides, each group of the nucleotides corresponding to one of the binary codes. The method, apparatus, and system may include, after the synthesizing of the DNA sequence, producing a blockchain storing data relating to the transaction using data stored in the DNA sequence.


