869 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.

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.

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.

Backup and recovery of multi-party computation (MPC) security data utilized to secure digital assets and transactions thereof can enhance user confidence and user experience in digital asset transactions. Example MPC security data can include cryptographic keys and key shares utilized with a N×M MPC signature and validation framework. A computing device participating in generation of MPC secure data can retain a segment of the MPC secure data and can encrypt and store an encrypted segment at a second device. A recovery service or recovery application at the second device can facilitate recovery of the MPC secure data segment at the computing device, or at an additional device not involved in generation of the MPC secure data. The recovery service or application can facilitate recovery of the MPC secure data segment even in the event the computing device is lost.

The invention relates to the technical field of electric power asset management, and discloses an electric power equipment full life cycle management system based on a digital twinning technology, and the system comprises a causal knowledge graph construction unit, a strategy rule learning unit, a decision option value quantification unit, a combined decision optimization unit, and a maintenance decision voucher management unit. The method comprises the following steps: constructing a knowledge graph containing a causal relationship among equipment, environment and management activities; carrying out anti-fact deduction based on the atlas to dynamically learn strategy rules; quantizing the value of the potential maintenance decision by adopting a physical option model; performing combination optimization under resource constraints of budget, spare parts and the like to generate an optimal decision combination; and finally, generating a standardized maintenance decision voucher for the decision in the combination. According to the method, decision-making flexibility and environment uncertainty can be quantified into specific economic values, future-oriented and globally optimal resource allocation is realized, and a decision-making process and a decision-making result are solidified into traceable and manageable digital assets.

The invention provides a 3D scene generation method and device guided by structure control information, equipment and a medium, and belongs to the technical field of image processing. A 3D building model of a target building structure is constructed based on a scene generation demand; generating a multi-view wireframe structure chart and a depth map based on the 3D building model; using the multi-view wireframe structure diagram and the depth map as structure control information, and combining with a target 3D scene text cue word to guide a pre-trained image generation model to generate a plurality of target style images under different views; and mapping the plurality of generated target style images under different visual angles to the 3D building model as texture information to obtain a target 3D scene model. According to the method, the consistency of scene styles is ensured according to the structured and controllably generated 3D scene model. Meanwhile, generation is guided through the target 3D scene text cue word, and the problem of scene homogenization caused by asset reuse in an existing digital asset library technology is solved.

A social media platform facilitates user interaction through digital environments called “bubbles,” which serve as customizable, collaborative spaces for content sharing and engagement. Users can participate in gamified events such as challenges, races, and raffles within these bubbles. The platform incorporates a blockchain-based reward system that issues digital assets, including tokens and non-fungible tokens (NFTs), based on user participation and performance. Each piece of content shared within a bubble can be assigned its own privacy level, independent of the user's account settings. The system supports role-based access, content moderation, and smart contract integration to ensure secure, transparent reward distribution.

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.

A hardware wallet can enable management of digital assets. The hardware wallet includes a microcontroller and a non-volatile flash memory. The hardware wallet can authorize an electronic device to perform electronic payments with digital assets on a blockchain associated with keys of a digital wallet stored on the non-volatile flash memory. The electronic device is authorized to perform electronic payments in response to user input and while the electronic device hosts the hardware wallet. The hardware wallet can also enable a payment card to perform electronic payments with the digital assets while the hardware wallet is disposed on the payment card. As such, electronic payments are authorized based on a communication exchange between the hardware wallet and a remote server of a payment system via a point-of-sale (POS) system that accepts the payment card.

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.

One embodiment sets forth a method for providing relevant search results for search queries. According to some embodiments, the method can be implemented by a client computing device, and includes the steps of (1) receiving a query, wherein the query is associated with a user account, and the user account is associated with a user account vector, (2) generating a query vector based at least in part on the query, (3) generating an output vector based at least in part on the query vector and the user account vector, (4) obtaining, based at least in part on the query, a plurality of digital asset vectors, wherein each digital asset vector of the plurality of digital asset vectors corresponds to a respective digital asset, (5) comparing the output vector to the plurality of digital asset vectors to generate respective similarity scores for the plurality of digital asset vectors, (6) filtering the plurality of digital asset vectors in accordance with the similarity scores to establish a filtered plurality of digital asset vectors, and (7) displaying, in accordance with the filtered plurality of digital asset vectors, respective affordances for the respective digital assets that correspond to the filtered plurality of digital asset vectors.

The invention discloses an AI-driven digital economic supply chain optimization method. According to the invention, a novel supply chain system with active pre-judgment and dynamic adaptation is constructed. The core breakthrough of the method is that passive risk management is converted into a opportunity creation mechanism, and traditional supply chain decision logic is remodeled by relying on a virtual-real symbiotic intelligent deduction system. The generative adversarial network simulates compound crisis scenes such as geographical conflicts and digital asset transactions in real time, and a quantum optimization algorithm and Monte Carlo tree search are combined, so that the system not only can predict a conduction path of global chip shortage to a production line, but also can generate breakthrough solutions such as cross-chain encryption settlement and redundant node resource securitization. The pre-judgment type deduction mechanism, block chain dynamic scheduling and metabolic resource configuration form a closed loop, and in response to encrypted currency flash collapse, a decentralized payment channel can be automatically switched to avoid risks, a digital asset arbitrage window can be captured through an intelligent contract, and co-evolution of risk resolution and value increment is realized.

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.

The invention provides an AI model management method and system based on dynamic NFT, and the method comprises the steps: firstly packaging the core elements of an AI model into on-chain intelligent assets through the dynamic NFT, and achieving the clear definition and credible storage of the ownership of the model; then, a programmable smart contract bound with the dynamic NFT is utilized to support flexible definition of an atomization authorization rule, and traditional fragile API key authorization is replaced; and finally, forcibly recording a father-son relationship in a model iteration process through a dynamic NFT chain derivation mechanism to form a non-tampering version pedigree map, and solving the problems of attribution dispute and technical source tracing of the fine tuning model. According to the invention, property right clarification, authorization control flexibility and version management credibility of AI model digital assets are realized, and the method is suitable for transaction, circulation and governance scenes of AI assets such as large language models and vertical field special models.

The invention relates to the technical field of digital asset management, in particular to a block chain-based carbon asset full-life-cycle traceability and digital asset management platform. According to the platform, multiple data modeling and intelligent contract mechanisms are fused, and credible management of carbon assets in the whole process from generation, accounting, registration, transaction to auditing is achieved. The method comprises the following steps: collecting operation data of a forestry carbon sink project, constructing a structured Hash fingerprint, generating index root Hash by adopting a Merkle tree, and calculating a carbon sink amount as a basic data source of carbon assets; accounting the carbon sink credibility based on a Bayesian network model and eliminating abnormal data; carrying out anti-fact intervention analysis by utilizing a causal map, and screening abnormal assets with low causal consistency; on-chain matchmaking transaction of the carbon assets and the users is completed through a clustering and greedy matching mechanism; a life cycle auditing module is combined to evaluate responsibility contribution of key behavior variables to ESG indexes, and quantifiable, traceable and verifiable green asset full life cycle management is achieved.

A method for creating and exchanging tokenized assets combines a dual ownership structure with a tiered exchange system. The method involves issuing membership non-fungible tokens to cooperative members, creating a tokenized asset through a legal entity and property ownership non-fungible token, and implementing a smart contract to generate property tokens representing fractional ownership. The exchange system for these property tokens implements sequential buying windows, providing initial exclusive access to non-token holders, followed by access to regional cooperative members, then global cooperative members, and finally institutional buyers. This approach may promote progressive decentralization of ownership while maintaining secure blockchain-based transfers within the cooperative framework. The method may enable fractional ownership of various assets, automated distribution of benefits, and a controlled secondary market structure that balances liquidity provision with ownership diversification.

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 discloses a digital textbook editing and transmitting system with a multilayer architecture. The digital textbook editing and transmitting system comprises a virtual node modeling module, a lightweight storage module, a function editing module, a resource ecological module and a client module, the virtual node modeling is as follows: Slate is used to construct a virtual node model containing elements such as texts, pictures, formulas, interaction components and the like, and each node carries content attributes, hierarchical relationships and interaction instructions; the lightweight storage module is used for converting a virtual node into a JSON format through global-jsdom after a user completes editing, and classifying binary files in the node into resource nodes in an editor. The invention relates to the technical field of data transmission, adopts an AES encryption transmission technology, avoids the data leakage risk caused by plaintext transmission, and improves the data transmission efficiency. And the digital asset security of the publisher and the user is effectively protected. Through node compression storage (JSON format), the server side can classify and store the JSON data, the data volume is greatly reduced, the storage space multiplexing is improved, and the transmission efficiency is improved.

Techniques are presented for a computer-implemented method that may be implemented using a blockchain network. The computer-implemented method includes: monitoring a system to detect a challenge to a proposer string in response to a request, and as a result of detecting the challenge: placing a first digital asset and a second digital asset under exclusive control of a group of nodes via a public key associated with a group of nodes, wherein the first and second digital assets are configured to be released when a threshold number of members of the group of nodes generate a valid signature for the public key associated with the group of nodes; resolving the challenge using a blockchain network; and distributing, by the group of nodes, digital assets from the first digital asset and the second digital asset to one or more parties of the system based at least in part on the solution.

The invention relates to the technical field of engineering digital management, in particular to an engineering project digital asset management method and management platform. The method comprises the following steps: performing engineering digital asset quality evaluation processing on engineering digital asset data to generate engineering digital asset quality evaluation data; performing engineering digital asset collaborative application heterogeneity feature analysis based on the historical engineering digital asset application data to generate engineering digital asset collaborative application heterogeneity feature data; carrying out the optimal distribution strategy analysis of the full-life-cycle engineering digital asset application on the full-life-cycle engineering digital asset application data through the engineering digital asset collaborative application heterogeneity feature data, and generating a full-life-cycle engineering digital asset application optimal distribution strategy; and based on the engineering digital asset quality data and full-life-cycle engineering digital assets, applying an optimal distribution strategy to execute engineering digital asset intelligent management operation. According to the invention, intelligent operation and maintenance optimization management of engineering project digital assets is realized.

The invention provides an intelligent research and development system, device and equipment based on Ai and a storage medium, relates to the field of research and development systems, and aims to convert project management from experience driving to data and AI driving so as to greatly improve the accuracy of task allocation, risk identification and progress prediction. The system can automatically monitor, analyze and actively intervene the research and development process, manual intervention is reduced, and the management efficiency is improved; the burden of compiling the report by a project manager is greatly reduced, and the timeliness, the accuracy and the objectivity of the report are ensured; a complete research and development traceability chain enables the project process to be extremely transparent, and audit, problem positioning and knowledge inheritance are facilitated; scattered research and development knowledge is structurally precipitated in a knowledge graph to become digital assets which can be inquired and reused by subsequent projects.

A secure method for exchanging entities via a blockchain is presented. The method comprises receiving, from a user over a communications network, an invitation to perform an exchange of entities; generating a redeem script comprising metadata; hashing the redeem script to generate a redeem script hash; sending the first script and the first script hash on a distributed hash table (DHT); and generating an invitation transaction comprising an output associated with an encrypted digital asset, and a hash of a script comprising an indication of entities to be exchanged, conditions for the exchange, and a public cryptographic key associated with the user.

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.

The invention relates to a system and method for operating fraud prevention. The present invention aims to resolve those issues encountered when individuals are targeted by a potential fraudster, such as (i) enhance the security of accessing individuals digital assets / accounts, (ii) allow the onboarding of passbook users or account holder identification item users with an existing account onto a digital platform without the need to displace themselves yet without having to repeat their know-your-customer (KYC) process and by protecting the security of access to the digital assets strictly to the actual individual account holder(s) of the account assets, (iii) and reduce the unintended willing or un-willing provisioning of any personal data or account(s) access to malicious individuals or organizations contacting the unsuspecting user(s).