504 results about "Digital asset" patented technology

The invention discloses an intelligent contract vulnerability detection and repair system based on a heterogeneous graph neural network, and belongs to the technical field of block chain security, and the system comprises a contract analysis module, a multilayer graph construction module, a heterogeneous graph neural network module, a vulnerability feature library, a vulnerability recognition engine, an automatic repair module and a visual interface. After the source code of the intelligent contract is input, code analysis and standardization are completed by a contract analysis module; the multi-layer graph construction module constructs a contract internal heterogeneous graph, an inter-contract interaction graph and an ecosystem relation graph based on a graph theory; the heterogeneous graph neural network module learns a vulnerability feature mode; the vulnerability recognition engine combines the vulnerability feature library to realize vulnerability classification and risk assessment; the automatic repairing module generates a repairing scheme; and the visual interface realizes detection progress monitoring, result display and encrypted report export. The intelligent contract vulnerability detection and restoration system based on the heterogeneous graph neural network provided by the invention provides technical support for block chain digital asset security and ecological stability.

System, process, and method for gamifying physical assets, digital assets, and virtual assets through advertising and e-commerce, and system and method for personalized digital twin LLM chatbot gamification in e-commerce and emotional intelligence development. The first aspect of the invention is a system and process for creating and training a personalized digital twin LLM chatbot assistant. The digital twin is personalized for a given human user using training data regarding the human user. A second aspect of the invention is a system and process of creating and playing an e-commerce game, including the mechanics of the game. The e-commerce game may be created and / or played by employing personalized digital twin LLM chatbot assistant such as that described in the first aspect of this invention. State of the art technologies such as sensors, IoT devices, wearable devices, and VR / XR / AR can be integrated into the game.

The present invention generally relates to the use of stable value digital assets and / or fiat-backed digital assets as cryptocurrencies that can be linked to other digital assets using blockchain technology and / or through a peer-to-peer network. In embodiments, the present invention relates to specific applications of non-fungible digital assets tied to a peer-to-peer network, such as a blockchain network.

In some aspects, a component may generate an identification for a personal account based at least in part on user-asset heuristics, wherein the personal account is heuristically distinguished from an administrative account based at least in part on a number of users associated with an account that is either the personal account or the administrative account. The component may determine an owner identity of the owner associated with the personal account by linking the identification with an identity in a data source based at least in part on one or more heuristically determined identity attributes.

The invention discloses a digital asset management method and device, equipment, a storage medium and a program product, and the method comprises the steps: carrying out the hash calculation of transaction data when a super SIM card receives a transaction request carrying transaction data sent by first equipment, and generating a transaction hash value; performing hierarchical signature on the transaction hash value through a preset signature algorithm, and triggering personal identification code authentication of the user so as to release signature data of the hierarchical signature after the personal identification code authentication is passed; and sending the verification abstract of the personal identification code and the signature data to a block chain network, so that the block chain network verifies the signature data, stores the signature data after verification is passed, and returns a transaction confirmation event to the first device. According to the embodiment of the invention, the super SIM card is used as a security carrier, and the transaction data hash calculation, the hierarchical signature and the personal identification code authentication are combined, so that the whole-process security protection of the digital asset transaction is realized, and the security of the digital asset transaction can be effectively improved.

Embodiments of the present disclosure relate to multimodal AI-based search for digital assets via an indexing and / or search pipeline. With respect to the indexing pipeline, some embodiments obtain first data and second data associated with a first digital asset. Such data represents different data types or modalities of the same digital asset. After obtaining the first and second data, some embodiments then generate a composite index. After the composite index is built such index can then be used to execute a query via the search pipeline. To execute the query some embodiments compute a relevance score for each digital asset, of multiple digital assets, based at least in part on a measure in which each digital asset satisfies one or more parameters or conditions for two or more data types of the query. Various embodiments then rank each digital asset and present one or more associated indicators.

Methods and systems described herein may implement blockchain asset authentication. A verification system may generate an encryption key associated with a digital asset, wherein the digital asset is associated with a first entity. The verification system may sign the digital asset using the encryption key. The verification system may generate a first key and a second key based on the encryption key, wherein the first key and the second key are part of a set of multi-party secret keys. The verification system may send the first key to the first entity and store the second key on the verification system. The verification system may receive a request to authenticate the digital asset. The verification system may in response to the request to authenticate, generate the encryption key based on the first key and the second key. The verification system may authenticate the digital asset based on the recreated first secret.

The present disclosure provides a system for generating artist-governed merchandise derivative works, comprising at least one processor and memory storing instructions that, when executed, cause the system to receive a request associated with source content and a transformation theme for creating a merchandise derivative work, evaluate the request against pre-generation preference data associated with a content authority using a knowledge agent maintaining brand guidelines, generate the merchandise derivative work from the source content according to the transformation theme by applying a generative artificial-intelligence model through an action agent, perform post-generation validation against the brand guidelines, generate a digital identifier based on the merchandise derivative work, and enable distribution through a physical merchandise path for tangible products or a virtual merchandise path for digital assets.

A method of managing digital assets is provided. The method includes receiving an input identifying a first digital wallet. One or more non-fungible tokens associated with the first digital wallet are identified. From the one or more non-fungible tokens, sustainability tokens are selected, each of the sustainability tokens being associated with a corresponding sustainability digital asset. For each of the sustainability tokens, a uniform resource indicator for the corresponding sustainability digital asset is retrieved from a distributed blockchain ledger and based on the uniform resource indicator, attributes of the corresponding sustainability digital asset are retrieved. A composite sustainability score is generated based on the attributes of the sustainability digital assets associated with the sustainability tokens, which is compared to a first benefit criteria and when the composite sustainability score meets the benefit criteria, a first benefit is provided to an owner of the first digital wallet.

The invention discloses a total-factor integrated large Token data management system, and the system comprises an identity credential collection unit which is used for obtaining an identity label and associated business data from a plurality of social subjects; the identifier abstraction unit is used for mapping the identity identifier into a standardized Token primary key according to a main body type and structuring the associated business data into a corresponding digital asset package; the total element aggregation unit is used for aggregating and packaging the digital asset package into a single verifiable large Token data structure, and the large Token comprises a Token primary key and a dynamic trust level; the dynamic trust engine is used for calculating and updating the trust level of each main body in real time and binding the trust level to the corresponding large Token; and the intelligent service execution unit is used for responding to an external business instruction and calling the large Token to realize intelligent service.

The invention relates to the technical field of digital asset management analysis, in particular to a digital asset intelligent analysis platform based on a block chain intelligent contract technology. The computing power resource state coupling module is used for obtaining the saturation degree of computing resources by capturing information of a task control block and combining the load rate of a processor, and embedding and collecting mapping data streams to generate a management and control data packet; the abnormal data screening module is used for executing local serial processing when the saturation degree of the computing resources is lower than an I / O throughput threshold value, and otherwise, hardware acceleration is carried out, and a to-be-verified digital sequence is constructed; generating an abrupt change collection feature vector based on the to-be-verified digital sequence; and the component resume anchoring module is used for carrying out data binding operation on the abrupt change collection feature vector, generating a single-piece digital traceability certificate, carrying out aggregation compression, obtaining a batch verification root value and outputting a quality signal digital right. According to the method, a load awareness and distributed storage partitioning strategy is constructed through indexes, and the I / O frequency and transmission bandwidth occupation of whole library retrieval are reduced.

Systems and methods for enabling secure and efficient interoperability between multiple blockchains, particularly for Central Bank Digital Currency (CBDC) issuance and transfer are described. This architecture allows independent blockchains, each managed by different financial institutions or authorities, to exchange digital assets using a unified cross-chain protocol. Key features include smart contracts for locking, minting, unlocking, and burning digital tokens, relayer subroutines for message transfer, and observer nodes for real-time monitoring and reconciliation. Multi-signature wallets ensure that critical actions require approval from multiple parties, enhancing security and compliance. The system supports both reversible and irreversible cross-chain transfers, dynamic load management, and upgradable smart contracts.

A digital asset custody system dynamically provisions clusters of multi-party computation (MPC) nodes to securely create different private key shares for signing digital asset transactions and generate blockchain addresses for digital asset owners (AOs). Each cluster of MPC nodes is configured for an AO and to operate in a plurality of computing environments. Each of the computing environments is associated with a respective different signing party, and each computing environment includes a respective one of plural MPC node initializers and a respective one of plural MPC node operators. An MPC controller and MPC node initializers perform operations to generate first configuration information for each MPC node in a first MPC cluster of MPC nodes. Each MPC node operator, based on the first configuration information, deploys one of the MPC nodes in the first MPC cluster in the computing environment corresponding to where the MPC node operator operates, such that the one MPC node in the first MPC cluster is deployed into a different one of the plurality of computing environments as compared to the computing environments into which the other MPC nodes in the first MPC cluster are deployed. Analogous operations are performed to generate second configuration information to deploy a second MPC cluster, third configuration information to deploy a third MPC cluster, etc. as desired.

Systems and methods improve security of vehicle-transfer processing using model-driven fraud flagging with cryptographic provenance. A transfer request message including a vehicle identifier is received. Historical event records for the vehicle identifier are retrieved from an append-only, hash-linked event log. A feature vector is generated from the historical event records and one or more external authoritative data sources. A trained fraud detection model is executed to produce a fraud score and, in some embodiments, a confidence value. When a fraud-flagging criterion is satisfied, a fraud-flag artifact is generated including a model identifier and version, a feature schema identifier, and a hash of at least a portion of the feature vector, and the artifact is digitally signed. Based on the signed artifact, the system selectively blocks, delays, or routes the transfer request to remediation, preventing commitment of a corresponding transfer record to the event log until a remediation condition is satisfied.

The invention discloses a digital asset right confirmation and tracing method and system based on a block chain, and relates to the field of electric data processing. The method comprises the steps of creating an initial node in response to a generation request; generating real-time intermediate assets when the iterative operation is received, and creating real-time nodes; linking the nodes to form a node chain; when a preset anchoring condition is met, constructing a Merkel tree by using the hash value of each node in the chain, and submitting the root hash of the tree to the main block chain for evidence storage; during tracing verification, starting from an initial node along a node chain, sequentially applying change parameters to regenerate target intermediate assets; calculating and comparing whether the hash value of the regenerated asset is consistent with the hash value recorded by the target node; if yes, the Hash value of the target node is verified to be one of the effective leaves of the root Hash on the chain in combination with Merkel proof, so that the existence and the authenticity of the generated path are verified. By implementing the technical scheme provided by the invention, the contradiction between fine-grained process tracing and efficiency in a high-frequency iterative creation scene is considered.

The invention presents a blockchain-based system for the tokenization, certification, and management of real-world assets, digital assets, and verified identities. It integrates Web3 domain-subdomain tokens, distributed ledger technology (DLT), decentralized identifiers (DIDs), and AI-driven verification processes to provide secure and transparent transactions. The system employs KYC subdomain tokens linked to users' blockchain wallets for identity verification, enabling compliance with regulatory standards. Human-readable Web3 tokens enhance asset traceability. AI and manual verification ensure efficient and accurate processing. Scalable and flexible, the system supports diverse asset types and includes time-based voiding mechanisms to address incomplete transactions, ensuring effective lifecycle management.

The invention discloses a Baijiu asset digital circulation system and method based on a block chain and digital assets. The Baijiu asset digital circulation system comprises a digital identity generation module, a supply chain management module, a supervision traceability module, a transaction circulation module, an anchoring synchronization module and a financial service module. The digital identity generation module is used for generating a unique digital identity identification code for each bottle / box of white spirit; the supply chain management module comprises a production collaboration sub-module, a storage scheduling sub-module, a logistics tracking sub-module, a distribution management and control sub-module, a supervision traceability module, a Baijiu full life cycle data traceability and abnormal transaction early warning and transaction circulation supporting module, and a Baijiu digital asset overall transaction and NFT fragmentation transaction supporting and anchoring synchronization module; the dynamic state synchronization of the Baijiu digital assets and the physical Baijiu is realized through the Internet of Things equipment, and the financial service module dynamically evaluates the loan amount of the Baijiu digital assets based on supply chain data and provides a disposal mechanism of overdue digital assets.

The invention discloses a supply chain financial asset right confirmation and risk control method based on block chain production data, and belongs to the field of financial science and technology and supply chain management. The system comprises an asset digitalization module, a risk monitoring module, a fund management module and a trusted data source module. The method comprises the steps of converting production data such as an order, a production progress and a quality inspection result confirmed by a core enterprise into a standardized digital asset voucher through an intelligent contract; a multi-dimensional risk control model is established based on real-time data of the Internet of Things, and asset risks are dynamically evaluated; and automatic issuing, recovery and risk disposal of financing funds are realized by using an intelligent contract. According to the invention, the traditional difficult-to-finance work-in-process inventory is converted into credible digital assets, the problem of difficult financing of small and medium-sized suppliers is solved, meanwhile, a real-time and credible risk control basis is provided for financial institutions, and full-process automation and risk controllability of supply chain financial services are realized.

A self-contained biometric device, method, and system for secure digital transactions is provided. The device comprises a housing that may be a subdermal implant, dermally-applied biometric tattoo, ergonomic external wearable, or smart card. The housing maintains consistent secure functionality during offline and online operation modes and includes a biometric verification module that captures a biometric input of a user and performs user authentication entirely within the device. A hardware-isolated storage module physically isolated from external networks stores cryptographic keys, credentials, and biometric templates. The device permits access to the cryptographic keys and credentials only upon successful user authentication. A transaction processing module resident inside the hardware-isolated storage module executes digital asset transactions entirely within the device in offline mode. This self-contained architecture enables secure, autonomous operation without reliance on external networks or computation.

A computer-implemented method is disclosed. The method includes: receiving, via a client device, a request to access a catalogue of digital assets, the request indicating one or more asset parameters; determining a first set of digital assets to present via the client device based on filtering a plurality of digital assets using the one or more asset parameters; providing, via a user interface on the client device, one or more user interface elements corresponding to the first set of digital assets; receiving, via the client device, a selection of one of the user interface elements corresponding to a first digital asset and a request to purchase the first digital asset; determining that the client device is associated with a first resource account at a protected data resource; and processing a payment in connection with purchase of the first digital asset, wherein the processing includes determining that a data transfer is received via a digital wallet associated with the first resource account.

Systems and methods disclosed herein automatically authorize, audit, and manage usage of protected digital content via agentic artificial intelligence (AI) models. A data access / usage request is received (e.g., from a graphical user interface) that is associated with digital assets licensed from third parties. The system uses a first AI agent set to identify the digital content and retrieve corresponding access policies from a distributed database. The system uses a second AI agent set (same as or different from the first AI agent set) to evaluate the request against the retrieved policy to generate a permission set and / or settlement instructions. The system uses a third AI agent set (same as or different from the first and / or second AI agent sets) to embed digital watermarks and / or cryptographic signatures into the accessed content, and to record an audit trail of access, authorization, and / or settlement events in a distributed ledger or database.

Systems and methods for multi-factor authentication are disclosed. In some examples, a system can receive a request for a transfer of an amount of a digital asset from a transferor to a transferee. The system can receive a first input through a first interactive user interface (UI) (that identifies at least a portion of the amount) to verify that at least the portion of the amount is correct, as a first factor of authentication for the transfer. The system can receive a second input through a second interactive UI (that identifies a first subset of a transferee address), and can verify that the second input matches the second subset of the transferee address, as a second factor of authentication for the transfer. The system can initiate the transfer of the amount from the transferor to the transferee in response to multi-factor authentication via the two factors of authentication.

The invention relates to the technical field of digital content management, in particular to a cultural creative work display management method and system based on artificial intelligence, and the method comprises the following steps: S1, obtaining the real-time behavior data of a target user in a current session; s2, extracting a user interest vector based on the real-time behavior data; s3, obtaining digital assets of the to-be-displayed cultural and creative works, and extracting multi-dimensional works feature vectors of the works; s4, calculating a matching degree weight between the user interest vector and the multi-dimensional work feature vector; s5, carrying out weight sorting on each feature item in the multi-dimensional work feature vector; and S6, calling corresponding display elements from a preset display resource library, and combining to generate a personalized display interface. According to the method and the device, the personalized display interface can be generated based on the matching result of the real-time interest of the user and the multi-dimensional features of the works, so that the display content is dynamically matched with the preference of the user.

The invention discloses a digital asset value evaluation method and system for power dispatching. The method comprises the steps of firstly obtaining a digital asset set in a target scheduling scene, then determining internal attributes of the digital asset set based on a power system physical topology and an operation rule, and determining external value characteristics of the digital asset set based on a power market environment and a scheduling decision demand. Thirdly, value calculation is carried out on various digital assets by utilizing the model in combination with real-time and historical scheduling operation data, and a basic value score is output; and generating a comprehensive value evaluation result and a value label according to the score in combination with a preset rule and an adjustment factor. Finally, the evaluation result and the label are applied to a power dispatching auxiliary decision support system, and a quantitative basis is provided for dispatching plan optimization, data asset internal pricing and external transaction. According to the method, accurate, dynamic and business value evaluation of the power dispatching digital assets is realized, and value release and efficient utilization of data elements are effectively supported.

Methods, systems and software designs are disclosed that may be used to enable simple, safe and secure transfers of digital assets such as cryptocurrencies, fungible tokens, and non-fungible tokens (NFTs) from a transferor to a recipient through a payment channel established by a smart contract on a blockchain. Transfers are enacted by the recipient presenting a voucher to the smart contract, said voucher being digitally signed by the transferor and transmitted to the recipient at a prior date and time. The voucher may be transmitted through an out-of-band channel, for example, through email, or a messenger application, and may take the form of a quick-response code (QR code), a base 64 encoded string, a hexadecimal string or some other representation. The smart contract may impose limitations on a minimum and / or maximum amount that may be transferred, and on a time period in which the voucher may be redeemed.

Systems and methods for modifying cryptographic token related data. In some aspects, the system accesses a unique cryptographic token associated with a user. The token is associated with a digital asset and is encrypted using a public key for the user. The system receives a request from the user to allow a third-party server to modify the asset. The request includes a public key for the third-party server. The system obtains and decrypts the asset using a private key for the user. The system encrypts the asset using the public key for the third-party server and transmits the asset and the public key for the user to the third-party server. The system receives, from the third-party server, an updated digital asset encrypted using the public key for the user. The system decrypts the updated asset using the private key for the user and replaces the asset with the updated asset.

A computer-implemented method for generating a prompt for a generative machine learning model is described. A user text prompt is encoded by an encoder implementing an encoding process, into a text embedding. The encoded text prompt is used to identify text embeddings in a vector database. The text embeddings in the vector database correspond to training captions used to train the generative machine learning model encoded using the encoding process. The identified text embeddings are used to generate a modified prompt. A large language model may be used to generate the modified prompt based on the identified text embeddings. The modified prompt may be passed to a generative machine learning model to generate media or one or more digital assets, such as a text-to-image machine learning model to generate one or more images.

The invention provides a method and a device for constructing a three-dimensional simulation scene driven by multi-modal data, and relates to the technical field of computer vision. Comprising the following steps: acquiring and preprocessing multi-modal data so as to encode the multi-modal data into a joint embedded vector; generating a scene layout image according to the joint embedded vector and a condition image generation model, and segmenting the scene layout image according to a semantic segmentation expert model and a soft voting mechanism to determine a semantic segmentation result; performing boundary extraction on the semantic segmentation result to determine a standardized scene semantic graph; selecting an alternative digital asset set based on a category label corresponding to the semantic segmentation result and a simulation engine digital asset library; inputting the scene layout image into a scale estimation model to output a scene map scale; and generating a three-dimensional simulation scene according to the standardized scene semantic graph, the alternative digital asset set, the scene map scale and a two-dimensional layout algorithm. According to the invention, the scene synthesis effect from the multi-modal intention to the landing simulation scene is improved.

A distributed processing system for transactions of digital assets includes autonomous agents that execute off-chain. Each agent has an encapsulation of state representing at least one digital asset and is configured to process transaction requests that modify the agent state. A proof aggregation layer prevents double spending of the digital assets. A consensus layer forms a decentralized trust anchor that maintains a blockchain and certifies state transitions of the proof aggregation layer. A sending agent issues a request to certify that a particular asset state has not been previously spent and if the proof aggregation layer returns a uniqueness attestation, a recipient agent can use it to verify both correctness of the transaction execution, and validity of the uniqueness attestation. Transaction execution may take place off-chain at the agents without reliance on global consensus or shared state among all network participants.

Disclosed are systems and techniques for automatically pairing physical assets to a non-fungible token. For example, a process can include obtaining transaction information of a selected item associated with an online transaction between a user device and a provider system, the transaction information including a user identifier of a user of the user device. A digital wallet address of the user can be determined based on the user identifier, the digital wallet address associated with a digital wallet system. A non-fungible token (NFT) can be automatically generated based on the transaction information and in response to verifying the online transaction for the selected item. Information regarding the NFT can be provided to the digital wallet system in accordance with the digital wallet address associated with the user, wherein the digital wallet system updates information stored at the digital wallet address based on the information regarding the NFT.