55 results about "Intellectual rights" patented technology

The invention discloses a large language model intellectual property protection method and device based on double-layer nested fingerprints, and belongs to the technical field of model security, and the method comprises the steps: constructing a fingerprint data set which comprises four mutually orthogonal subsets, the three subsets are respectively a normal response subset, a double-layer nested trigger fingerprint subset, a style trigger fingerprint subset and a semantic trigger fingerprint subset; performing embedded learning on a large language model in a knowledge question-answering process by using a fingerprint data set to obtain a fingerprint model, wherein the learning targets are to maintain the consistency of normal response subsets, activate the response of double-layer nested trigger fingerprint subsets, and reduce learning deviation through adversarial learning of style trigger fingerprint subsets and semantic trigger fingerprint subsets; based on the fingerprint data set and the fingerprint model, the double-layer nested trigger meeting the triggering condition is used for verifying the right of any suspected model, the concealment, reliability and effectiveness of double-layer nested fingerprint embedding are improved, and the intellectual property copyright of the large language model is practically protected.

The present invention relates to the field of knowledge service systems, and specifically to a knowledge service system for intellectual property protection. The present invention extracts basic data of plaintiffs and defendants by setting up a case analysis module, classifies first intellectual property data in the basic data, and obtains second intellectual property data by word segmentation extraction, and finally calculates the first overlap degree, the second overlap degree and the average infringement probability respectively, and gives corresponding results for users to refer to, so that users can obtain corresponding reference opinions when facing case disputes involving intellectual property rights, so as to facilitate users to better handle infringement disputes related to intellectual property rights; and solves the problem that the existing legal knowledge service system has a relatively large error when predicting the judgment result of the current case due to the difficulty in determining the validity of intellectual property rights in the case trial process.

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.

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.

The invention discloses an intelligent intellectual property protection method and system for a digital asset right confirmation platform, and relates to the field of intellectual property management, and the method comprises the steps: creating digital asset identity information for a target digital asset, and recording the digital asset identity information in a target block chain; determining the asset use permission of the target user based on the smart contract; and based on the asset use permission and an asset operation instruction of a target user, controlling asset operation of the target user in a target block chain.

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.

To provide an information processing apparatus and a program that can seamlessly execute a business strategy planning task and an intellectual property related task.SOLUTION: An information processing apparatus comprises: a business strategy evaluation unit that inputs an input parameter associated with an evaluation object business strategy to a learned model which is obtained by performing machine learning using a data set including the input parameter being an explanatory variable associated with success / failure for a plurality of business strategies and an objective variable indicating a business strategy success probability as teacher data, and obtains an evaluation result which includes an evaluation value indicating the business strategy success probability; and an intellectual property right analysis unit that refers to an intellectual property right database on the basis of an evaluation result output by the business strategy evaluation unit to extract an existing patent related to a business strategy of an evaluation object, and calculates an evaluation value representing a value for the extracted patent.SELECTED DRAWING: Figure 6

A method for ascertaining the validity or enforceability of an intellectual property right is disclosed. In one embodiment, such a method identifies a jurisdiction associated with an acquired intellectual property right and identifies one or more logic conditions of the jurisdiction deemed to affect validity or enforceability of the acquired intellectual property right. The logic conditions may be encoded in a spoken language associated with the jurisdiction. The method converts the logic conditions from the spoken language into one or more predicates conforming to first order predicate calculus. The method trains, on a computing device, the one or more predicates with a particular set of facts to validate and verify a proper logical outcome. The one or more predicates are then deployed to an edge device to execute on a logical inference processor implemented on the edge device. A corresponding system and computer program product are also disclosed.

The invention relates to the technical field of certified product attribute identification, in particular to a qualitative identification method and system for identifying whether a sample commodity has certified product attributes or not by utilizing certified product traceability codes and certified product necessary conditions combined by multi-dimensional transaction data. Aiming at the difficulty of literacy and identification in the right protection of the consumer, the multi-dimensional verification standard of the certified product is utilized, so that a certified product obligee can directly provide a qualitative identification suggestion for the consumer whether the commodity has the attribute of the certified product, provide right protection evidence and eliminate the main obstacle of consumption right protection; and on the other hand, the incremental right protection power spread over the market objectively assists the right holder in resolving, discovering and counterattacking the pain point of the infringement behavior, and a mutual-help and mutual-win cooperation opportunity is provided for the intellectual property right holder and the consumer.

To provide an information processing apparatus which efficiently detects an infringement action on an intellectual property right at a low cost to solve an infringement case.SOLUTION: An information processing apparatus 2 comprises: a report receiving unit 203 which receives infringement candidate information D71 indicating a likelihood of infringement on an intellectual property right; an infringement determination unit 206 which determines whether or not the infringement candidate information D71 corresponds to infringement high likelihood information D73 indicating that a likelihood of infringement is high; and a right holder reporting unit 207 which reports the infringement high likelihood information D73 to a right holder of the intellectual property right.SELECTED DRAWING: Figure 6

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.

A cross-border e-commerce intellectual property insurance system and a method thereof, the intellectual property insurance system comprises an insurance module and an execution module, the insurance module provides an insurance contract, and content and compensation conditions for providing legal services are agreed in the insurance contract to meet intellectual property disputes. The execution module is in communication connection with the insurance buying module, receives the claim request application and finds the corresponding insurance contract according to the claim request application; wherein the execution module judges whether the evidence provided in the claim application accords with the claim payment condition specified in the insurance contract, and if so, the execution module pays the claim payment cost specified in the insurance contract to the beneficiary.

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.

An information processing apparatus receives person-in-charge information of a certain application, person-in-charge information for specifying a person in charge who has performed examination of an application relating to an intellectual property right for which a notice of rejection has been received, or identification information for specifying the application for which the notice of rejection has been received, extracts the person-in-charge information for specifying the person in charge who has examined the application for which the notice of rejection has been received based on the identification information in a case where the identification information has been received, and generates argument case information related to a specific application that has been granted only by argument without amendment or correction of translation errors for a notice of reasons for rejection immediately before the grant among past applications for which the person in charge has performed examination based on the person-in-charge information.

To address the problem of providing a system for identifying counterfeit of luxury brands and evaluating into scores to solve infringement of intellectual property rights and damage to consumers due to the presence of the counterfeits.SOLUTION: Provided is a system for identifying counterfeit of luxury brands and evaluating into scores. The system includes: means for utilizing a generative AI to acquire commodity images by using the camera of smartphones; means for analyzing the acquired image and determining whether or not the commodity being a counterfeit or a genuine article; and means for evaluating the determination result into scores and displaying the outcome.SELECTED DRAWING: Figure 1

The utility model discloses an intellectual property business popularization device which comprises an installation frame, a rain baffle is fixedly connected to the upper end of the installation frame, a sealing plate is hinged to the front face of the installation frame, a transparent plate is fixedly connected to the interior of the sealing plate, a containing groove is formed in the installation frame, and the transparent plate is fixedly connected to the interior of the containing groove. An adjusting assembly for adjusting the clamping position is arranged in the containing groove. By arranging the double-shaft motor, the double-shaft motor drives the screw rod to rotate, the screw rod and the moving rod do threaded motion, the position of the moving rod is controlled, the clamping width is adjusted, the limiting rod is loosened, the connecting plate is moved, the T-shaped block slides in the T-shaped groove, the position of the T-shaped block can be adjusted, and the height of the clamping position can be adjusted. The posters with different sizes can be clamped by the device; the device uses the air cylinder to drive the moving plate and the rubber plate to clamp the poster, and the problem that the clamping effect is not stable when a spring is used can be avoided.

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.

The invention belongs to the field of natural language processing technology security, and provides a method and a system for protecting security of cue words of a large model, a cue word template composed of different functional modules is arranged, each module has specific input and output specifications, and standardized and modular design of the cue words is realized; according to the method, a cue word template is disassembled into a configurable cue word template structure, and a party A is allowed to adjust partial content of the cue word to adapt to different application scenes and requirements of the party A while a core cue word structure is allowed to be kept unchanged through a dynamic synthesis technology; leakage of prompt words is effectively prevented through a watermark technology and an encryption technology, use of unauthorized prompt words is effectively prevented, and intellectual property protection is enhanced; and meanwhile, a transparent large model is used, so that a bottom-layer model can be changed at will, and repeated development and resource waste caused by improper models are reduced.

The invention discloses a production and teaching collaborative competition and scientific research platform, which constructs a bridge for connecting colleges, enterprises and students, and stimulates the innovation ability and practical skills of the students through competition, so that the technology is converted from competition to scientific research; comprising an enterprise demand pool, a competition management module, an academic transformation engine, a competition-scientific research transformation module and a school-enterprise cooperation module, the enterprise demand pool and the competition management module can effectively solve the demand connection problem of production-teaching cooperation, and the academic transformation engine and the competition-scientific research transformation module realize achievement transformation of competition and scientific research. The school-enterprise cooperation module guarantees right and interest distribution through an intelligent contract mechanism, promotes sustainability of production and teaching cooperation, enables enterprises to publish technical requirements, enables students to submit schemes through a competition platform, automatically generates academic papers and distributes intellectual properties, is high in achievement conversion rate, achieves the integration of educational resources and production and teaching cooperation, and is high in efficiency. And the method has remarkable technical advancement and application value.

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.

The invention discloses an intellectual property protection evidence chain strengthening system fused with a digital watermarking technology, which relates to the field of information technology and intellectual property protection, and comprises a user and external interaction layer for uploading work metadata of a user, user-defined authorization terms, work use / propagation records and infringement evidence to a system core function layer, receiving a complete evidence packet generated by the system core function layer; the system core function layer is used for processing data uploaded by the user and the external interaction layer and generating original data, a digital watermark encryption work, an intelligent contract, an operation behavior link and a complete evidence packet; and the infrastructure and data layer is used for storing various data of the system core function layer. According to the invention, a copyright protection and electronic evidence management system covering the full life cycle of the digital work is constructed, the integrity, tamper resistance and judicial credit collection capability of evidence are remarkably improved, and the compliance and effectiveness of copyright protection in various legal environments are ensured.

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 discloses an intellectual property civil infringement behavior and applicable law provision prediction method, which comprises the following steps: 1) for each case in an intellectual property infringement case data set, labeling the infringement behavior and applicable law provision of the case to obtain a training sample; 2) training an intellectual property civil infringement behavior prediction model by using the sample, wherein the model comprises an encoder module, a causal attention calculation module, a hybrid expert routing gating module, a multi-expert multi-layer perceptron module, an infringement behavior classification multi-layer perceptron module and a law provision prediction multi-layer perceptron module; and 3) for a to-be-predicted case, inputting the case situation fact description information of the to-be-predicted case into the trained intellectual property civil infringement behavior prediction model, and predicting the civil infringement behavior of the to-be-predicted case and applicable laws and provisions. According to the method, the time consumption of model prediction can be improved while high-accuracy prediction capability can be provided, and the persuasion and interpretability of prediction are enhanced.