150 results about "Oracle" patented technology

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.

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%.

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.

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.

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.

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.

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.

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.

This application discloses a method and related apparatus for grading math problems, relating to the field of artificial intelligence technology. This application converts user responses in natural language into proof skeleton data in a pre-defined formal language, and uses a compiler of the pre-defined formal language as a deterministic oracle. By capturing compilation feedback signals, it determines the final evaluation result of the reasoning validity of the problem-solving process. By using the compiler's strict execution of substitution probability prediction, it provides deterministic logical truth values ​​for fuzzy natural language reasoning. Therefore, it can improve the reliability of the evaluation of the reasoning validity of students' problem-solving process.

This disclosure provides a method, apparatus, device, and medium for monitoring the state of external data sources, relating to the field of computer technology, and particularly to blockchain technology. The method is applied to a blockchain node and includes: obtaining a data subscription transaction request initiated by a client; invoking an oracle contract to execute the data subscription transaction request to record the subscribed target data topic and control the oracle node to monitor data changes of the target data topic; obtaining change events of the target data topic fed back by the oracle node and uploading the change events to the blockchain so that the client can listen to the change events. The above technical solution enables the monitoring of state changes of external data sources.

This invention provides an automated compiler testing method based on specification inference and loop consistency verification to address the problems of traditional compiler testing, which relies on differential testing, requires reference implementations, and cannot effectively test domain-specific compilers. The method first extracts a syntactic skeleton set and a detailed reference set from heterogeneous specification documents; it then uses a large language model to infer type-safe formal grammar rules through multi-agent collaboration; based on the inferred grammar, it generates semantically valid test cases using a seed-preserving abstract syntax tree-level mutation strategy; it executes a compile-decompile-recompile loop on the test cases and detects compiler defects through binary-centralized comparison and noise normalization. This invention achieves systematic automated testing of compilers in the absence of reference implementations and execution oracles, improving compiler reliability and system security.

The invention relates to the technical field of information security, and discloses a multi-modal biological recognition access verification method and system and a storage medium, and the method comprises the steps: collecting multi-modal biological information through terminal equipment, and carrying out the quality evaluation of each type of modal information, and obtaining a corresponding quality score; based on the quality score, the terminal equipment determines a target oracle node type, constructs a differentiated verification request, sends the differentiated verification request to a corresponding oracle node, and forwards the differentiated verification request to a back-end service system; and the back-end service system constructs the feature matching result, the quality score and the routing information into a context feature vector, inputs the context feature vector into a fusion decision model to generate a final verification conclusion, and finally executes authorization operation according to the conclusion. According to the invention, the verification accuracy and the operation efficiency of the system in a complex environment are effectively improved through the fusion decision of the adaptive routing decision and the context awareness, and the safety and the traceability of the whole link are enhanced at the same time.

The embodiment of the application provides a kind of power grid data processing method and system based on blockchain and privacy computing, it is related to electric power asset digital management technical field, the method can be encoded as digital asset identification after obtaining power grid asset data, and offline storage power grid asset data, store digital asset identification in blockchain.When ownership change is carried out, the owner field of the metadata corresponding to the power grid asset data can be updated based on the digital asset identification. Then use multi-dimensional evaluation model and oracle evaluation to carry out value evaluation, to generate digital asset certificate. The method can design digital asset identification dedicated to power grid digital assets, facilitate the change and segmentation of digital assets, to improve the right establishment efficiency. And through multi-dimensional evaluation model and oracle, the value of digital assets is evaluated, and digital asset certificate is obtained, to improve the accuracy and verifiability of the value evaluation result.

A quantum circuit, configured to process n qubits and d additional qubits, includes: a d-qubit Quantum Fourier Transform circuit configured to apply a d-qubit Quantum Fourier Transform to the d additional qubits; a plurality of parity-fan-out gates controlled by the n qubits and configured to control the additional d qubits, wherein each of the plurality of parity fan-out gates is coupled to a corresponding one a plurality of sets of additional phase gates that also apply phase angles to the d additional qubits, wherein quantum circuit implements a unitary of a bit function and wherein the sets of additional phase gates apply the phase angles to the d additional qubits based on a Walsh-Hadamard Transform of a conversion of the bit function to a binary number; and a d-qubit Inverse Quantum Fourier Transform circuit configured to apply a d-qubit Inverse Quantum Fourier Transform to the d additional qubits.

The disclosed systems and methods provide a novel technical solution via mechanisms for identifying which models are truly high-performing and the set of models that would provide the most accurate single prediction for a signal data signature (SDS). The disclosed systems and methods provides a computerized framework that can document the depictions of individual model performance. Moreover, the disclosed framework can identify all high performing models according to positive results, negative results, as well as generalized results. The framework can additionally operate to combine high performing models into a single predictive oracle to render a final prediction based on input from many models.

A quantum circuit is configured to implement a quantum gradient algorithm when executed on qubits of a quantum computing system. The quantum gradient algorithm includes a phase oracleOSfmdefined by a finite difference approximation with an order greater than zero, and a complexity of the quantum gradient algorithm scales as (√{square root over (k)} / ϵ). The quantum circuit is repeatedly executed on qubits of a quantum computing system to determine a k-dimensional gradient of a function ƒ(x) within an error ϵ at point x0, where ƒ(x) is not a Gevrey class G1 / 2 function.

A system for resolving prediction market outcomes using secure hardware and trust-based scorer selection. The system scores each resolver based on their track record of accuracy, governance participation, and integrity alignment rather than token holdings. Resolution computations execute inside a tamper-resistant hardware enclave that prevents manipulation by platform operators or external attackers. Upon resolution, the system produces a sealed Provenance Token containing six cryptographic fields that bind the decision to its inputs, scoring model, enclave identity, and a non-replayable counter value, enabling anyone to independently verify resolution integrity. Anomalous resolver submissions are detected and quarantined before consensus using dual machine-learning algorithms running inside the enclave. The system generates regulatory compliance reports within the secure hardware and delivers results through authenticated API endpoints. Settlement automatically distributes payouts to holders of winning outcome shares.

This invention discloses an oracle bone script recognition method, system, electronic device, and storage medium based on a hybrid CNN-Transformer network. The method first preprocesses the oracle bone script image and constructs a multi-source feature extraction network including local perception and global cognition branches. Then, a frequency-enhanced Transformer module is introduced into the global cognition branch to adaptively suppress high-frequency background noise through a frequency domain filtering mechanism, and a compact cross-channel interactive attention mechanism is combined to extract fine-grained stroke features of the oracle bone script to compensate for detail loss. Next, a selective branch gating fusion mechanism is introduced to dynamically evaluate the semantic importance of features and adaptively aggregate local perception and global cognition features. Finally, the oracle bone script recognition result is output. This invention can effectively overcome noise interference from complex rubbings and intra-class differences in character shapes, significantly improving the accuracy and robustness of oracle bone script recognition.

The invention belongs to the technical field of digital image processing and ancient text information processing, particularly relates to an automatic oracle annotation method, system and equipment for digital literatures, and aims to solve the problem of automatic identification and annotation of oracle and Chinese character mixed literatures. The method comprises the following steps: receiving a document image, and obtaining respective coordinate areas of a plurality of characters in the image; obtaining each character image according to the coordinate area, and classifying the character images into an oracle character type or a non-oracle character type; performing differentiation recognition based on a classification result, determining codes of the oracle characters by adopting an image matching model, and determining texts of the non-oracle characters by adopting a character recognition model; and finally, associating an identification result with the coordinate region to generate a structured annotation file. According to the method, the technical bottlenecks of failure of a general OCR (Optical Character Recognition) technology, poor adaptability of a complex format and high computing power dependence are solved, and high-precision and automatic labeling of the oracle in the mixed literature in a low computing power environment is realized.