7 results about "Patent infringement" patented technology

The present application relates to the technical field of intelligent product selection, and particularly relates to an intelligent product selection and infringement early warning method based on cross-platform mining and a knowledge graph, comprising: obtaining product description texts on multiple platforms, user interaction behavior sequences and market dynamic indicators; using natural language processing to analyze the product texts and extract a technical feature vector, combining time series analysis to generate a product heat index, and calculating market saturation based on market dynamics to form a product market potential evaluation indicator; constructing a multi-dimensional product knowledge graph based on the technical feature vector, and selecting candidate products according to the potential indicator; mapping the candidate product technical vector to the knowledge graph to quantitatively generate a patent infringement risk evaluation value; when the risk exceeds a threshold value, generating a design avoidance scheme based on the technical substitution path and design variant scheme in the graph; and outputting intelligent product selection decision support information. The present application improves platform product selection efficiency and accuracy.

According to the patent infringement and invalidation collaborative trial program process based on the island jumping type logic, the infringement judgment process and the invalidation judgment process are integrated, the trial period is shortened, program repetition is reduced, and the trial efficiency and fairness are improved. The method specifically comprises the following steps: a serial parallel trial mechanism: reversely presuming the practicability of a patent through technical feature comparison; the novelty is reversely presumed through existing technical feature comparison and patent document form comparison; the creativity is reversely presumed by distinguishing whether technical features have value increment or commercial success judgment.

The invention relates to the technical field of electric digital data processing, in particular to a patent analysis method and retrieval system based on distinguishing technical means traceability. The patent analysis method based on distinguishing technical means traceability comprises the steps that 1, a technical file recording a public technical scheme close to a to-be-analyzed technical scheme is obtained through retrieval, or patent analysis reports of other technical schemes, close to the to-be-analyzed technical scheme, in the field are selected to serve as comparison files; 2, comparing the to-be-analyzed technical scheme with a comparison file, and identifying and distinguishing technical means; 3, performing traceability analysis on the different technical means; and identifying the patent infringement risk of the to-be-analyzed technical scheme. The method has the beneficial effects that the workload is small, the acceptance check is convenient, the accuracy of retrieval is not interfered by an unsubstantially examined or invalid patent protection range, the coverage range is large, and the retrieval can be accepted.

Systems and methods for fine-tuning a machine learning model for use in patent analytics and infringement system are disclosed herein. The method involves providing, in a memory, a litigation dataset comprising a plurality of historical patent litigation records, each patent litigation record comprising at least one patent claim, and a litigation outcome corresponding to each of the at least one patent claim; receiving, at a processor in communication with the memory, a product / service content item associated with a candidate patent litigation record in the plurality of historical patent litigation records; updating, at the processor, the candidate patent litigation record based on the product / service content item; and generating, at the processor, a vector database based on the litigation dataset, the vector database used to fine-tune a machine learning model. Systems and methods for identifying products and services relevant to a patent claim and for ranking results are also described.

The embodiment of the invention relates to an agent analysis system for performing patent infringement analysis on a molecular structure. The system comprises a task scheduling module, a molecular analysis module, a patent analysis agent, a structure matching agent, an infringement analysis module, a fact checking module, a Markush structure library and a substituent database, the task scheduling module sequentially schedules the subtask processing processes of the molecular analysis module, the patent analysis agent and the structure matching agent, performs fact verification on each subtask output by using the fact verification module, and schedules the infringement analysis module to generate an infringement analysis report according to the output of the structure matching agent; and the structure matching agent is also used for carrying out dynamic fine adjustment on the built-in structure matching model according to the Markush structure library and the substituent database. The analysis precision can be improved, and the analysis quality can be improved.

The invention relates to the technical field of patent analysis and drug research and development decision support, in particular to an LLM-based medical patent infringement risk multi-dimensional early warning method, which comprises the following steps of: analyzing a user attention level, configuring a risk dimension weight in combination with a decision scene, obtaining medical patent technical characteristics and a target product, and establishing a medical patent infringement risk model; the method comprises the following steps: analyzing claims by utilizing BERT to generate a multi-dimensional sub-structure map, quantifying technical characteristics by combining atomic stability and an attention matrix, evaluating avoidance feasibility by calculating a candidate site bond energy disturbance value and distribution density, fusing the technical characteristics with multi-source intelligence, constructing a multi-dimensional risk index set, and establishing a multi-dimensional risk index map; according to the multi-dimensional risk early warning method, the BERT is utilized to construct a substructure map, the contribution weight is quantified in combination with the atomic stability, the key energy is calculated to evaluate the avoidance feasibility, the molecular fingerprint is fused with multi-source data mapping, the weighted aggregation is executed according to the scene, the subjective deviation is eliminated, and the microscopic difference is mined. And accurate quantitative early warning of the medical patent infringement risk is realized.

This invention discloses a method and system for intelligent mixing with human voice spectrum protection, belonging to the field of digital audio signal processing technology. The method extracts speech semantic weights using a lightweight NLP model, combines speech rate, pause duration, continuous listening duration, and environmental noise parameters, and calculates a real-time listening status score using a nonlinear mapping function. Based on the score, it adaptively adjusts the background binaural beat audio signal parameters, locking the 250Hz-4kHz core human voice frequency band. Gain boosting, notch filtering, and dynamic compensation are used to achieve human voice spectrum isolation protection, completing the intelligent mixing output. The system includes modules for speech parsing, status acquisition, nonlinear comprehensive evaluation, adaptive control, intelligent mixing engine, audio playback, and environmental noise acquisition. It is compatible with multiple terminals such as learning apps, online classes, smart headphones, and hearing aids. This invention effectively solves the problem of human voice spectrum masking, improves voice clarity and auditory experience, adjusts only the audio signal frequency, avoids patent infringement risks, and offers a complete and practical technical solution suitable for various intelligent audio mixing scenarios.