25 results about "Intellectual rights" patented technology

The invention provides a modular, computer-implemented system and method for managing attribution, licensing, and royalty enforcement of AI-generated digital assets. Known as TrustLedger, the system integrates cryptographic proof mechanisms, programmable royalty routing, and zero-knowledge license validation to enforce intellectual property rights across multi-party generative AI workflows. Core modules include: (1) a Proof-of-Origin engine capturing prompt fingerprints and generation metadata; (2) a Prompt Royalty Engine calculating and distributing royalties based on roles such as prompt engineer, model provider, or dataset curator; (3) a Zero-Knowledge License Enforcer verifying license compliance without disclosing confidential terms; and (4) an Infringement Radar detecting unauthorized use across public content sources. The system supports deployment via SDKs, APIs, or smart contracts, enabling automated enforcement across AI-generated text, code, images, audio, video, and mixed media. TrustLedger facilitates scalable, privacy-preserving IP compliance and empowers creators, developers, and platforms to assert, license, and monetize AI-generated works.

The invention provides a patent right confirmation and traceability system and method combining a DIKWP semantic model and a block chain technology, and belongs to the technical field of block chains and intellectual property protection. According to the system, an innovation process is structurally expressed as a five-layer semantic map of data, information, knowledge, intelligence and intention through a semantic modeling module, a semantic abstract hash record of each innovation node is chained and stored through a hash storage module, and meanwhile it is ensured that a creative chain record is true, reliable and non-tampering in combination with a multi-layer semantic consistency signature mechanism. The system can also quickly retrieve similar invention records based on rich semantic information on a chain, and provides a semantic-level innovation traceability analysis function. Under the scenes of AI content generation, collaborative innovation and the like, the reliability of patent owner confirmation and the efficiency of infringement comparison can be greatly improved, the original rights and interests of the inventor are fully guaranteed, and the method has good industrial application prospects.

The invention relates to the technical field of computers, and discloses an intellectual property big data fusion analysis and service platform which comprises a data acquisition preprocessing module, a multi-modal feature coding module, a knowledge graph construction and reasoning module, a multi-modal fusion and correlation analysis module and an intelligent service and application module. According to the technical scheme, retrieval accuracy and efficiency can be improved, traditional retrieval limitation is overcome through deep semantic understanding, association discovery and multi-dimensional intelligent analysis, intellectual property work efficiency is greatly improved, and the method is particularly suitable for complex technical patents.

Methods of protecting intellectual property using digital signatures include generating reference digital signatures of first content, generating a digital signature of second content, comparing the digital signature of the second content to the reference digital signatures to identify matching reference digital signatures, and selectively performing an action based on the matching reference digital signatures and a policy. The first content may include proprietary information of an organization and / or posts of a machine-learning (ML) model. The second content may include source code intercepted from a transmission directed to an external site, such as a ML model, and / or source code saved to a source code repository. Actions may include, without limitation, initiating an audit of the second content, sending a notification to a user interface indicating that the second content likely contains a portion of the first content, releasing the transmission, and / or terminating the transmission.

I would like to claim intellectual property rights to the idea of ​​mixing plastic scraps (PET scraps or fiberglass scraps) with concrete and forming formwork blocks from them.

To provide a technology for further facilitating confirmation of contents in a document to be submitted to a government office or the like, for example, a legal document related to intellectual property or the like.SOLUTION: In a program for operating a computer for providing a service for supporting creation of document data including a document related to an intellectual property right, the computer stores information of a manuscript of a document to be submitted to a government office in a storage part. Causing execution of a step of receiving, from a user, input of first information relating to a statement of the patent scope of the patent application and second information relating to a summary of a portion in which the first information is described in the manuscript on the basis of information on the manuscript, and a step of displaying the first information and the second information in association with each other, and accepting, from the user, an operation of specifying the first information or the second information displayed in association with each other; And presenting details of the description related to the second information in response to an operation of a user designating the first information or the second information.SELECTED DRAWING: Figure 34

The present application belongs to the cross technical field of computer software and intellectual property management, and specifically relates to a kind of intellectual property whole life cycle intelligent management method and system based on value code.The present application aims to utilize digital identity identification (value code), block chain storage, intelligent contract automatic execution and other technologies, to build an integrated management platform of intellectual property registration, circulation, rights protection and value evaluation, which is traceable, verifiable and can automatically execute right distribution.The system anchors assets by generating a globally unique value code for intellectual property, deploys modularized smart contracts for ownership, license, rights protection and other modules, uses oracle network to realize off-chain event-driven on-chain state change and trusted storage.In addition, a dynamic value evaluation model is built by combining multi-source data and verifiable computing, and cross-chain interoperability protocol is used to realize cross-domain collaborative governance of assets.The present application effectively solves the problems of scattered ownership records, low efficiency of right distribution, value evaluation disconnection and poor cross-system interoperability in traditional management, and realizes cost reduction and efficiency improvement and value maximization of intellectual property management.

Machine learning based retrieval systems and methods are disclosed for mapping between patent or patent application claims and sections of technical standards Disclosed machine learning-based patent recommender systems may be trained and evaluated on example datasets obtained using the disclosed systems and methods. Systems and methods for generating ground truth datasets associating patent claims and sections of standards from information provided in intellectual property rights (IPR) disclosures or based on user feedback are also disclosed herein.

The invention discloses a large language model intellectual property protection method and device based on domain-specific prejudice feature fingerprints, and belongs to the cross technical field of artificial intelligence safety and intellectual property protection. The method specifically comprises the steps that a three-dimensional orthogonal prejudice data set is constructed, and the data set depicts model prejudice features from the three dimensions of the field, the prejudice type and the response mode; screening the three-dimensional orthogonal prejudice data set based on a two-stage screening mechanism so as to extract core sample data with intra-family high stability and inter-family high discrimination; performing domain-specific prejudice feature fingerprint extraction based on the core sample data to obtain a standardized reference fingerprint; and performing ownership judgment on the to-be-tested model by adopting a confrontation verification mechanism based on the standardized reference fingerprint. According to the method, a quantifiable and high-robustness ownership identification scheme can be provided for the closed-source large language model, and the method has important application value for solving the safety problems of infringement and embezzlement of intellectual property of the large language model and the like.

The invention relates to the technical field of achievement transformation supervision, in particular to an intellectual property achievement transformation supervision system and method based on data analysis, the system comprises a scheme association fusion module, the scheme association fusion module combines extracted information and generated content scheme fragments, analyzes the association between different content scheme fragments, and stores the association between the content scheme fragments; and fusing the content scheme fragments with relevance to obtain new content scheme fragments, and generating different rehearsal schemes of the project. According to the invention, the scheme integration and review management before the generation of the technical scheme are carried out, the influence of the segmentation position of the research record data on the subsequent to-be-reviewed technical scheme is considered, and the content of the generated intellectual property achievement conversion scheme and the historical review record of each expert in the expert database are combined. The screening of the review experts corresponding to the generated intellectual property conversion scheme is realized, the pertinence and accuracy of the review result are ensured, and the intellectual property achievement conversion risk of an enterprise is reduced.

The application discloses a brand infringement fair reporting method and system based on real-name verification and privacy desensitization, and relates to the technical field of intellectual property protection.The application solves the problems of high threshold of traditional rights protection reporting, easy leakage of privacy, insufficient fairness, and non-transparent process through the following steps: quick real-name verification without registration, mobile phone verification code verification, privacy desensitization publicity, fair ordering according to submission time, multi-level state management, and reward redemption and trace leaving mechanism.The application has the advantages of simple operation, wide coverage, privacy security, fairness, strong generalizability, and the like, and is suitable for original brand piracy reporting and all people supervision scenes, and can effectively promote market standardization and original protection development.

To provide an environment where teachers and schools can safely use educational materials they have created. [Solution] This invention examines the basic requirements for improving the learning environment using CE (Computer-Effective) technology in response to the modern challenge of "diversity." Addressing diversity is expected to improve the quality and access to education and bring benefits to society as a whole. Furthermore, this invention relates to a text creation support tool and environment development tool for GIGA School, and is characterized by being a teaching material creation support tool with intellectual property rights protection functions using blockchain technology, having a platform that enables the sharing of teaching materials and information exchange within a group, having a hypertext notebook creation function that can be customized by individual students, and further having a function that provides teaching materials according to students' interests and concentration levels using AI, and having a function that prevents the leakage of teaching material data using a sync client.

This invention relates to the field of end-to-end management and control technology for archival digitization, specifically an intelligent management and control system and method for the entire archival digitization process. The intelligent governance system for the entire archival digitization process within the system receives the standardized fused dataset, performs intelligent cataloging, quality verification, dynamic anonymization, and intellectual property rights confirmation marking on the archival data based on machine learning algorithms, completes metadata standardization processing, and outputs the governed archival dataset to the blockchain-enabled trusted archival storage and traceability mechanism. This invention achieves automatic cataloging, quality verification, dynamic anonymization, and intellectual property rights confirmation marking based on machine learning, forming a closed-loop governance mechanism that significantly reduces manual intervention and ensures the security, standardization, and clear ownership of archival data during the transfer process.

The invention relates to the technical field of information technology management, in particular to an achievement transformation evaluation method and system based on big data, and the method comprises the steps: building a multi-field data sample library, evaluating the value of intellectual property, and evaluating the innovation degree of scientific and technological achievements. The evaluation system comprises a big data acquisition module, a database module, a data entry module, a feature vector module and a feedback module, and can be used for matching the achievement conversion information of multiple fields and fields, evaluating the automatic intellectual property, evaluating the technological innovation degree of scientific and technological achievements, and improving the evaluation efficiency. Therefore, the potential risk, market value, feasibility and innovation degree of scientific and technological achievement transformation are assessed, assessment of scientific and technological achievement transformation has multi-aspect index consideration, the accuracy of scientific and technological achievement transformation assessment is improved, a feasibility assessment report is automatically made through the system, and the workload of workers can be reduced.

System for analyzing technical intellectual property documents using AI, comprising: a) input of a technical description, b) generation of a semantic representation, c) comparison with existing intellectual property rights, d) evaluation and output of the similarity.

A method and system for analysing and mitigating security risks in open innovation ecosystem is disclosed. The system comprises detects potential vulnerabilities in open innovation activities, including intellectual property exchanges, research data handling, and partner collaboration processes to provide identified threat data as input. The system represents interactions between an innovator and an adversary as a two-player zero-sum game. The system computes Nash equilibrium from the payoff matrix. The Nash equilibrium represents optimal defensive investments under adversarial conditions. The system also models adversary uncertainty using probability distributions, and further updates the equilibrium strategies based on incomplete or dynamic information. The system, thereafter, evaluates adversary uncertainty using Entropy-based risk assessment to determine levels of security investment resources responsive to the quantified uncertainty. Finally, the system integrates results of the equilibrium analysis, probabilistic inference, and uncertainty quantification to generate actionable security recommendations and guidelines for mitigation strategies.

A method, according to one embodiment, includes causing a plurality of evaluation bots to evaluate information about a first new invention, where the evaluation bots are configured to identify and exclude sub-portions of the information during the evaluations. The sub-portions of the information are based on human opinion. The method further includes using an output of the evaluation bots to calculate scores for factors identified during the evaluations of the information about the first new invention. The method further includes determining, based on the calculated scores, a total novelty score for the first new invention, and correlating the total novelty score to a suggested action, where the suggested action corresponds to a course of action to follow with respect to securing intellectual property rights of the first new invention. The suggested action is displayed on a display of a user device.

A system is provided.SOLUTION: A system comprising: means for providing a plurality of design parts based on a design theme individually selected by a user; means for generating a design preview based on the design parts selected by the user; means for confirming intellectual property rights of each of the design parts used in the generated design preview and calculating a license fee; means for presenting the license fee to the user and processing payment; and means for generating and providing a final design file to the user after the payment is completed.SELECTED DRAWING: Figure 1

This invention discloses a model watermarking-based method for copyright protection of machine learning models. This method embeds an invisible, secret watermark into the machine learning model to meet the needs of model traceability and copyright protection, reducing the risk of intellectual property infringement. This invention regularizes the original machine learning model by training a new "implanted model," making the watermark implantation more closely coupled to the model's main classification task. Compared to previous model watermarking methods, this method's implanted watermark exhibits stronger robustness against watermark removal attacks, especially distillation attacks, where it demonstrates better resistance.

Offline-capable QR code management system, characterized in that each QR code is individually generated, encrypted and uniquely assigned to a user or product, whereby all links between code, data record and authorization can be accessed without a permanent internet connection.

The arrangements described herein relate to a computing system including at least one processor and at least one memory coupled to the at least one processor, the at least one processor is configured to tokenize a Machine Learning (ML) model by determining a first token for the ML model and at least one second token for intellectual property rights of the ML model. The first token includes a link to each of the at least one second token, and each of the at least one second token includes a link to the first token. The at least one processor is configured to tokenize training dataset used to train the ML model by determining a third token for the training data and record the first token, the at least one second token, and the third token on a distributed ledger database / blockchain.

The invention relates to a computer-aided method for analyzing and evaluating risks in compliance with regulations relating to intellectual property rights, a system for carrying out the method, as well as a computer program and a computer program product.

This invention provides an NFT content similarity detection device that restricts the use of characters and other elements in the metaverse space that infringe intellectual property rights. [Solution] The NFT content similarity determination device comprises a determination means and a warning means. The determination means determines whether content used in the metaverse space is similar to at least one of a plurality of NFT (Non-Fungible Token) content. If the warning means determines that content used in the metaverse space is similar to at least one of a plurality of NFT content, it issues a warning regarding the content used in the metaverse space.

This invention proposes a DIKWP cognitive value modeling approach oriented towards AI semantic sovereignty: "Intention" is added to DIKW and a sovereignty awareness layer is superimposed, serving as a metacognitive hub to constrain the entire DIKWP chain. Semantic weight mapping is used to label the source, value weight, and sharing permissions of knowledge units, forming a measurement and control system similar to intellectual property rights. A multi-agent semantic sovereignty negotiation algorithm is proposed, exchanging abstract intentions and calculating matching degrees, sharing only when there is a fit and no overstepping of boundaries. Semantic content is assetized on the blockchain, with semantic contracts / smart contracts completing the confirmation of rights, authorization, settlement, and record-keeping. This method balances semantic sovereignty and value alignment, achieving secure and efficient knowledge collaboration and transactions, and is applicable to autonomous AI governance platforms, artificial consciousness economies, and decentralized knowledge markets.

A content management device is configured to generate a universal rights dual-layer token associated with a given digital content element. The dual-layer token functions as rights container class that holds public-facing data associated with the digital content element for the public good along with private data, such as rights holder information associated with the digital content element. Accordingly, the dual-layer token stores pertinent information associated with the digital content element as part of a single, digital instrument that can be deployed at industry scale for any digital industry. The dual-layer token provides real-world intellectual property integration of digital content by mapping existing ownership and creative rights as part of a distributed ledger, by providing a territory-agnostic framework for enforcement of those rights, and by complying with existing legal frameworks.