196 results about "Oracle" patented technology

A blockchain-based artificial intelligence system, with the training of neural network nodes being obtained via oracle-assisted local devices. Nodes are trained using local data, which are then transmitted to the blockchain node application via a smart contract-based electronic transfer platform. Security of the system is ensured using an actively updated anomaly database to detect anomalous code segment updates and anomalous blockchain activity. AI global models are versioned to enable reversion if an operating model is determined to be anomalous.

The invention relates to the technical field of oracle paraphrasing, and provides a training method and device for an oracle single-character image reasoning task. According to the method, a backbone network is trained to perform Chinese character recognition, modern Chinese character radical splitting, literal period identification and recognition, oracle-bone image recognition, oracle-bone multi-graph statement recognition, oracle-bone character meaning evolution analysis and font thinking chain reasoning on single-character images; calculating a joint loss value according to the primary output, the intermediate output and the advanced output obtained by training so as to iteratively update network parameters of the backbone network, and obtaining an intermediate model until the joint loss value meets a training ending condition; and training the intermediate model to perform font thinking chain reasoning, and finely adjusting the intermediate model by using a reward function to obtain a target model, thereby solving the problem that the oracle single-character image is difficult to accurately identify, infer and explain.

The invention relates to a block chain on-chain and off-chain linkage query method and system based on a decentralized oracle machine, and the method comprises the steps: obtaining to-be-stored multi-modal data, storing the multi-modal data in an off-chain manner, obtaining a data abstract through abstract calculation, and obtaining a label and a value of the label through information labeling; constructing a time index; storing the time index, the label and the value of the label in a storage contract deployed on a chain; the storage under the chain synchronizes the data abstract and the storage address to an oracle contract deployed on the chain, and the oracle contract is subscribed by a decentralized oracle network; the storage contract responds to the user query and is sent to the oracle contract, and the nodes in the decentralized oracle network generate integrity proof based on the subscribed user query; and the decentralized oracle machine network aggregates the digital signatures of the nodes to obtain multiple signatures reaching a threshold value, and sends the original data, the multiple signatures and the integrity proof corresponding to the user query to the user to realize the block chain up-chain and down-chain linkage query.

The invention provides an oracle generation method based on a structure perception diffusion model, and the method comprises the steps: carrying out the preprocessing of an oracle image in an oracle data set, and carrying out the data enhancement, and obtaining a training data set; preprocessing the oracle image in the detection data set to obtain a test data set; constructing a structure perception diffusion model, wherein the structure perception diffusion model comprises a random mask generator and a U-Net information reconstruction network, and the random mask generator marks the input complete oracle image through a Gaussian mask; the degraded image is predicted through the U-Net information reconstruction network; training the structure perception diffusion model by using the training data set and adopting a loss weight of a dynamic loss system automatic coordination mixed loss function to obtain a training information reconstruction model; and inputting the test data set into the training information reconstruction model to obtain a repaired oracle image. According to the method, modeling is perceived through the fusion structure, and a novel technical path which is stable, efficient and high in robustness is provided for oracle bone text image restoration.

A system and method for providing a randomness function to a smart contact on a decentralized network. An oracle receives a request for at least one random value to be supplied to a smart contract executing on a decentralized network, the request including a seed. The oracle generates the at least one random value based on the seed, and a secret key associated with the oracle, wherein the oracle is identified on the decentralized network by a public key associated with the secret key. The oracle generates a cryptographic proof based on the at least one random value and the public key and sends the at least one random value and the cryptographic proof to the decentralized network, whereby the proof, and thus the randomness of the at least one random value, can be verified.

The invention relates to the technical field of block chain smart contracts, and provides a smart contract automatic execution system and method based on a block chain technology. In order to solve the problems that in the prior art, out-of-chain event verification is fragile, cross-contract atomicity is lacked, and resource management and control are insufficient, the system comprises a multi-mode under-chain event verification module, and a tamper-proof data channel is established through an Internet of Things hardware anchor point and an anti-collusion oracle; the autonomous execution engine is integrated with a resource awareness scheduler and an out-of-chain computing adapter; the transaction atomicity guarantee module is used for realizing cross-contract rollback by adopting a global snapshot tree and an intelligent compensation contract; the governance arbitration interface supports anonymous dispute resolution. The method comprises the steps of out-of-chain event multi-level verification, voucher execution queue management and sandbox resource isolation control. Credible collaboration inside and outside the chain is realized, the execution reliability is improved by more than 90%, and the contract development cost is reduced by 40%.

The embodiment of the invention discloses an Oracle compatible method and equipment based on a database driving program, and belongs to the technical field of database migration. The problem that in the prior art, comprehensive compatibility of Oracle characteristics is difficult to achieve on the driver level is solved. Comprising the following steps: when a database is in an Oracle compatible mode, receiving a calling statement in an Oracle form at a driving layer; in the SQL statement generation and execution stage, a corresponding grammar conversion strategy is determined according to the type of a calling statement; based on a grammar conversion strategy, performing grammar conversion on the calling statement to obtain a statement supported by a target database kernel, and sending the statement to the target database kernel; in the stage of obtaining the result set, the result set returned by the kernel of the target database is analyzed, and a function return value and / or an out parameter value obtained through analysis are / is transmitted to a corresponding binding variable, so that compatibility of an Oracle function, a storage process and an anonymous block is achieved.

The invention provides a watermark embedding method, computer equipment and a computer readable storage medium, and the method comprises the steps: positioning a watermark position in a target text based on a preset watermark position positioning rule; based on the content type at the watermark position, determining a watermark setting type to which the watermark position belongs, adopting a watermark setting strategy corresponding to the watermark setting type to determine watermark information of the watermark position and an arrangement mode of the watermark information; and generating a cue word by using the target text, the watermark position, the watermark information and the arrangement mode of the watermark position and a preset watermark, taking the cue word as input information of the large oracle model, and outputting a watermark text corresponding to the target text through the large language model. According to the technical scheme, the hidden marking and copyright protection of the text content are realized through the deep cooperation of the multi-dimensional watermark setting strategy and the large language model.

The invention relates to the technical field of oracle machines, and provides an oracle machine implementation method and system for protecting multi-source data privacy and source authenticity, and the method comprises the steps: integrating the data of each data source through a credible center, and establishing communication between a verifier, a certifier and each data source; the certifier calls a query template provided by the verifier and generates a query of each data source and a query of each data source in combination with the private parameters, the certifier and the verifier perform calculation through two parties to generate an MAC value of the query, and encryption operation is performed on the query of each data source in combination with a held session key share; each data source generates encrypted and authenticated multi-source data based on the encrypted query; after the certifier carries out commitment operation on the verifier, the MAC key is recovered, and the multi-source data subjected to encryption authentication are decrypted and verified to obtain the multi-source data; and for communication data, the source authenticity is proved through zero-knowledge proof. And the complexity of multi-data source key management and use is reduced.

A novel blockchain network architecture and transaction processing workflow, collectively referred to as the oracle-driven blockchain approach, is disclosed. In certain embodiments, this approach enables a blockchain network to efficiently execute and validate transactions that require answers from an oracle by (1) separating block creation from transaction execution (such that each new block to be added to the network's blockchain is first created by one or more sequencing nodes before any of the transactions within the block are actually executed), and (2) ensuring that, as part of transaction execution, any output generated by the oracle which changes state is added to a transcript that is included within the block.

The present disclosure describes various methods, systems, and storage medium for training a language model to obtain an iterative Nash policy optimized (INPO) language model. The method includes initializing a first language model by a reference language model; for N-th iteration with N starting from 1 to M, generating a plurality of responses using the N-th language model for each prompt in a plurality of prompts, and constructing a preference dataset using a preference oracle based on the plurality of responses for each prompt, wherein the preference dataset comprises a winning response and a losing response; training the N-th language model to obtain a (N+1)-th language model by minimizing a value of an INPO function for all preference dataset for the plurality of prompts, wherein the INPO function comprises an expectation term, a regularization term, and a modification term; and outputting the (M+1)-th language model.

The invention relates to an exploration and development data query method based on a knowledge graph and a large language model, comprising: receiving an exploration and development report document uploaded by a client, the exploration and development report document carrying unstructured data under titles of all levels; analyzing and splitting the exploration and development report document, vectorizing the split titles and unstructured data under the titles, and storing the vectorized titles and the unstructured data in a vector database; constructing a knowledge graph according to each level of title of the exploration and development report document, and storing the knowledge graph in a graph database, the knowledge graph database comprising a plurality of nodes; receiving a query statement of the client based on the large language model, and extracting a keyword in the query statement; according to the keyword, performing likelihood calculation of the vector, determining a node which is most matched with the graph database, and extracting content under the node; and synthesizing the extracted contents under the nodes by using a large oracle model to obtain text information and / or chart information displayed to the client by the user.

Techniques for fast smart contract processing and validation. A C3N smart contract may be written in a high-level programming language such as Go rather than a domain-specific language (DSL) for smart contracts that is difficult to learn and utilize correctly. The smart contract may support a predefined list of C3N libraries, including APIs for accessing components within a C3N containerized environment. The smart contract may natively support access to oracles and data external to the C3N blockchain. The C3N smart contact may be deployed as source code or executable code for one or more target architectures. Such executable code may be run directly on the target architectures without additional compilation or interpretation. Validator nodes can verify correct execution of C3N smart contracts through unit tests.

A system and method in which a network of offchain oracle nodes are used to provide dynamic information to consuming smart contracts in a decentralized computing environment. The off-chain oracle network and a corresponding protocol reduces the likelihood of damage from rogue oracles acting in concert. Periodically, the oracle nodes, jointly and in concert, run the protocol to sign a report containing observations from many of the oracles in the network. The report is transmitted to a smart contract C running on a DLT. The smart contract C can validate the report, pay each oracle node that contributed an observation to the report and expose the median, or other calculated value, of the reported values to the on-chain consuming smart contracts.

The invention relates to the technical field of internetwork settlement, in particular to an account checking method and device based on a block chain oracle machine and secure multi-party computing, computer equipment, a non-temporary computer readable storage medium and a computer program product. According to the method, a credible, automatic and transparent scene on a chain is provided by adopting a smart contract based on a block chain, the contradiction between account checking data privacy and verifiability among operators is solved through privacy perception by adopting secure multi-party calculation, and meanwhile, reverse operation is performed on an oracle machine; complex calculation in the smart contract is put into an out-of-chain oracle machine operation, and finally a difference vector set of account checking is accurately obtained, and then whether internetwork settlement continues to be carried out is judged. On the premise of guaranteeing the privacy, credibility and safety of the account checking data through cooperation of the three, the defects that the account checking efficiency is low, the account checking process is not supervised, and the account checking result is not subjected to closed-loop feedback are overcome.

Systems and methods of the present disclosure enable identifying labelling a source signal data signature using a computing system to test candidate chain oracle models by iteratively performing, for each particular number of neural network models in the range of the number of neural network models, a predetermined number of trials, where each trail includes: randomly selecting the particular number of neural network models; utilizing each neural network model of the particular number of neural network models to generate a respective predictive output based on the second input data; utilizing the LR model to generate a trial output based on the respective predictive output, and determining a model trial performance based on: the trial output, the second output data, and at least one machine learning performance metric. A chain oracle model from the candidate chain oracle models is determined based on the machine learning performance metric.

The invention relates to the technical field of distributed databases, in particular to a distributed database fuzzy testing method, device and equipment, and the distributed database fuzzy testing method comprises the following steps: generating an original seed by using a test case generation function of SQLancer or a test case set of a to-be-tested database; performing non-equivalent variation on the original seeds, using cases capable of triggering a distributed mechanism of the database to be tested, and performing equivalent variation to generate a pair of functional equivalent cases; and sending the varied seeds into the database to be tested, executing the varied seeds, obtaining an output result, and detecting the correctness of the output result through a test oracle. According to the method, the defect of close association with the related mechanism of the distributed database can be explored, and the defect that an existing fuzzy test tool lacks a test function for the related mechanism of the distributed database is overcome.

A blockchain-based artificial intelligence system, with the training of neural network nodes being obtained via oracle-assisted local devices. Nodes are trained using local data, which are then transmitted to the blockchain node application via a smart contract-based electronic transfer platform. Security of the system is ensured using an actively updated anomaly database to detect anomalous code segment updates and anomalous blockchain activity. AI global models are versioned to enable reversion if an operating model is determined to be anomalous.

The invention discloses a price query method and device based on an oracle machine, electronic equipment and a storage medium, and relates to the technical field of block chains or other related technical fields, and the method comprises the steps: receiving a financial transaction request initiated by a user side based on a block chain interaction interface, and determining a to-be-queried target object and a target timestamp; calling a data interface of an oracle machine, and determining a to-be-queried initial data period range; carrying out iterative calculation on the basis of the initial data period range by adopting a dichotomy method, and reducing the to-be-queried data period range until a target data period is obtained; and traversing the historical price data in the target data period, querying target historical price data corresponding to the target timestamp, and sending the target historical price data to the block chain interaction interface. According to the method and the device, the technical problem of relatively low efficiency of querying the price by traversing the data flow in the oracle machine in the block chain in the related technology is solved.

This invention discloses a task scheduling method and system based on an ITSM platform, belonging to the field of IT service management technology. The method includes the following steps: acquiring an available execution node cluster; collecting task execution records of nodes within a second scheduling set to generate a true performance baseline; performing periodic node rotation operations between the first and second scheduling sets based on historical execution data and the true performance baseline; calibrating the historical execution data of the first scheduling set; monitoring the real-time load distribution of the first scheduling set to trigger emergency node rotation operations; performing emergency node rotation operations and resetting historical data for nodes that have undergone rotation; and updating the initial node quantity ratio. This invention solves the problems of hotspot solidification, self-fulfilling oracle, and cluster resource utilization imbalance caused by historical affinity bias in existing technologies by dividing execution nodes into a first scheduling set and a second scheduling set.

The invention provides a multi-agent collaborative MCP registration, authorization and execution method based on a block chain, and relates to the technical field of artificial intelligence, the method comprises three parties of an MCP provider, an LLM provider and a terminal user, and MCP registration, joint authorization and trusted execution are realized through an intelligent contract. Comprising the steps of registering MCP metadata uplink, applying for authorization for a user-LLM combination, initiating double-signature calling by the LLM, verifying a contract and triggering execution, and returning a result and updating a state by Oracle. According to the method, decentralization, multi-agent collaboration, verifiability of MCP calling full links and accurate definition of rights and responsibilities are realized, fine-grained authority control and automatic expense settlement are supported, compliance supervision requirements of GDPR, HIPAA and the like are met, bottom support is provided for large-scale and secure calling of external services by a large model, and multi-scene application of SaaS, API markets and the like is adapted.

This invention provides a real-time intelligent teaching system and method for panoramic driving training, relating to the field of driving training technology. It includes: a task and credential module, an execution and causal reversal module, a reconstruction and snapshot module, a penalty and reputation feedback module, and an audit and compliance module. The system generates oracle credentials bound to an initial success probability estimate through an oracle network; it uses a verifiable delay function to set a time window for completing the signature, enabling locking, unlocking, or rollback of the execution witness; it supports concurrent and symmetric scheduling of mirrored tasks; it calculates staking penalties and updates reputation based on the initial success probability using a convex function mechanism; and finally, it writes all process data into an immutable audit chain and generates zero-knowledge proof compliance credentials for verification by regulatory agencies.

The application relates to the technical field of supply chain management, in particular to a product supply method and system based on a block chain technology. The method comprises the following steps: obtaining production data of a commissioned party; determining the production efficiency of the commissioned party according to the production data; obtaining process data, generating a dynamic reporting vector according to the production efficiency and the process data; determining a dispatch adjustment strategy according to the dynamic reporting vector; obtaining cross-chain verification data through an encryption oracle, analyzing the dispatch adjustment strategy according to the cross-chain verification data, and generating an unalterable dispatch instruction set. According to the dynamic reporting vector, the dispatch adjustment strategy is determined; cross-chain verification data is obtained through an encryption oracle, the dispatch adjustment strategy is analyzed according to the cross-chain verification data, and an unalterable dispatch instruction set is generated. The unalterable dispatch instruction set ensures the accuracy and safety of the dispatch adjustment strategy, and prevents the risks of data tampering and dispatch leakage.

A method may include: receiving, by a smart contract, a request for a random number and a randomness seed from a user; deploying the request as a transaction that is written on a first block in the decentralized ledger; generating, by an oracle, a plurality of pseudorandom quantum circuits using the randomness seed; providing the plurality of pseudorandom quantum circuits to a quantum randomness source, wherein the quantum randomness source executes the quantum circuits and returns a sequence of random bits to the oracle; writing the sequence of random bits to a new block in the decentralized ledger; hashing the sequence of random bits and a block hash for the new block; and returning the hash of the sequence of random bits and the block hash to the user computer program, wherein the user consumes hash of the sequence of random bits and the block hash.

The application relates to a multi-blockchain-based trusted hierarchical V2X data processing system, which comprises a vehicle layer, an RSU layer, a service layer and a cloud layer. The system proposes to divide the RSU network based on the RSU topological structure to reduce the data storage pressure; the system proposes a blockchain oracle mechanism in the Internet of Vehicles scene, through vehicle verification, node verification and cloud verification, all members in the system are organically involved in the data security protection process of the system, and the data security is ensured; the system proposes to use a particle swarm algorithm to optimize various parameters of the oracle, the optimization process is more scientific, and the effect is better than that of the experience-determined parameters.

A computing device is provided, including a processor configured to transmit, to a quantum coprocessor, instructions to encode a Markov decision process (MDP) model as a quantum oracle. The processor may be further configured to train a reinforcement learning model at least in part by transmitting a plurality of superposition queries to the quantum oracle encoded at the quantum coprocessor. Training the reinforcement learning model may further include receiving, from the quantum coprocessor, one or more measurement results in response to the plurality of superposition queries. Training the reinforcement learning model may further include updating a policy function of the reinforcement learning model based at least in part on the one or more measurement results.

Disclosed are a registration method, an execution method, an execution apparatus and an execution system of a timed smart contract in a blockchain, and relates to the technical field of computers. The method includes: a registration request of the timed smart contract is received; according to the registration request, an interface for the timed smart contract connecting to an oracle contract is generated for the timed smart contract, where the oracle contract is deployed on the blockchain and configured to receive time information sent by a trusted oracle, so as to supply the time information to the timed smart contract through the interface. The management and execution of the timed smart contract are realized via the blockchain.

A computer-implemented system converts verified digital-influence data into blockchain tokens with cryptographically anchored reputation scores. The system aggregates at least 1,200 signals per cycle, validated by a decentralized Scoring Committee, and embeds the verified score as a Score Anchor in each token. Transactions use a Premium Purchase Function that executes atomic, three-times (3×) royalties for high-reputation creators. A Drift Guard prevents artificial inflation, a Regulator Dashboard enables audit reconstruction, and Governance Contracts ensure adaptive AI model updates as technologies and market needs evolve.

The application relates to the technical field of blockchains, and provides a pension guarantee data auditing method and device based on a blockchain, equipment and a medium, which are applied to a blockchain system; the method comprises the following steps: receiving historical pension guarantee data sent by each access node based on an auditing equipment node, and downloading the historical pension guarantee data to the auditing equipment; receiving an evaluation score sent by the auditing equipment in a manner of an oracle; the evaluation score is obtained based on an organization portrait and a predefined algorithm by extracting behavior characteristic data from the historical pension guarantee data and then establishing the organization portrait; every preset period, it is judged whether the evaluation score meets preset requirements; if yes, an auditing process is started, so that the auditing equipment audits the historical pension guarantee data based on geographic information according to predefined criteria; in this way, the extensible oracle technology is used to reduce human intervention, data transmission is carried out based on the blockchain, data tampering is prevented, the data is guaranteed to be real and reliable, and the accuracy of the auditing is improved.

The invention discloses a decentralized trust root generation method suitable for a block chain oracle machine, solves the problems of insufficient security and decentration degree and weak node trust mechanism in a traditional block chain oracle machine system in the prior art, and realizes the security, expandability and stability of the block chain oracle machine system. The method comprises the following steps: generating a root key through a PUF (Physical Unclonable Function) and deriving an AIK certificate to finish initialization; generating an authentication report by using the TPM, submitting the authentication report to the block chain, completing identity registration and continuous verification of a runtime state, and forming a trusted node pool; when a data request is received, nodes are selected from the pool to form an oracle machine committee, and a leader node is appointed; the committee processes out-of-chain data, and the leader node aggregates signature responses and submits the signature responses to the block chain; and finally, based on node trust score weighted distribution service cost, realizing excitation and trusted closed loop.