11 results about "Patent classification" patented technology

This invention belongs to the field of data processing and artificial intelligence technology, specifically a method and system for automatic classification of medical device patents based on deep learning. The method includes the following steps: acquiring textual data of medical device patents and performing preprocessing; introducing medical device classification standards as an external knowledge base, and calibrating the labels of the preprocessed text data to form a standard dataset; for categories with insufficient sample numbers in the standard dataset, generating synthetic data based on the patent text using a generative model; constructing a deep learning classification model that integrates global and local semantic features; training the deep learning classification model using the enhanced dataset, and inputting the medical device patent text to be classified into the trained model for classification prediction, outputting its corresponding medical device classification standard category. This invention solves the problems of mismatch between existing patent classification systems and industry regulatory standards, and low classification accuracy.

The invention relates to the technical field of patent classification and artificial intelligence, in particular to an intelligent system for improving patent classification quality, which comprises a patent information extraction module, a patent information synchronization and retrieval module, a patent information extraction module and a patent classification module, all the modules work cooperatively and are in communication connection with the local patent database, the authoritative patent data source and the LLM. The patent information extraction module supports multi-format input and obtains complete patent information; the synchronization and retrieval module realizes patent information synchronization, storage and vector search; the information extraction module is combined with the optimization cue word to call LLM, and patent core key points are extracted in a specified length; and the classification module adopts a patentClassifier model subjected to patent data fine adjustment, and outputs a multi-classification label with possibility. According to the system, the problems of low recall rate and single input format caused by input length limitation in the prior art are solved, patent classification accuracy, integrity and efficiency are improved, and the system is suitable for various application scenes and high in practical value.

The invention belongs to the technical field of patent classification method conversion, and particularly relates to a method for converting an international patent classification method and a Chinese library classification method. The method comprises the following steps of: 1, constructing an international patent classification semantic vector set I: fusing various target word vector sets Iw, concept vector sets Ic and phrase vector sets Ip of an international patent classification (IPC); 2, constructing a Chinese library classification semantic vector set C: fusing various target word vector sets Cw, concept vector sets Cc and phrase vector sets Cp of a Chinese library classification method CLC; step 3, performing IPC and CLC category mapping; and 4, verifying the mapping result by using an IPC and CLC category mapping sample set established by an expert. According to the method, the patent and the scientific and technical literature can be retrieved and analyzed uniformly in the precise subdivision field limited by the same classification number, switching operation in different databases is not needed, information separation is avoided, retrieval and analysis efficiency is improved, comprehensive and accurate intelligence support is provided, and integrity and continuity of intelligence information are guaranteed.

The invention relates to a hydraulic model, in particular to a hydraulic model for studying the coarse particle conveying characteristic of sand-containing water flow of a bifurcated pipeline, and belongs to the field of hydraulic engineering, and the IPC (International Patent Classification) number of the hydraulic model is E02B 1 / 02. According to the hydraulic model, through the water inlet and outlet pool system, the water transfer pipeline system, the coarse particle feeding port, the movable and telescopic supports and the like, rapid, convenient and stable conversion of test working conditions of different branch pipeline angles, different overall inclination angles and different pipeline inflow and outflow forms can be achieved. By adopting the closed rectangular glass water tank, the distortion of shot pictures caused by refractive indexes of different materials such as organic glass and water flow is reduced, and the observation precision of the high-speed camera can be improved. Water can be transferred back and forth among the three groups of water inlet and outlet pools through the transfer pipelines and the transfer valves, so that the cyclic utilization of water flow is realized, and the effect of saving water resources is achieved.

The application provides a method for improving the multi-level patent text classification effect based on a BERT-ALMG model, an electronic device and a storage medium, comprising: constructing a label set corresponding to patent classification, and establishing a label feature vector for each label; obtaining a patent text to be classified; analyzing the patent text to obtain a text feature vector of the patent text; analyzing the relationship between the text feature vector and the label feature vector to obtain a label text vector of the patent text; and performing multi-granularity feature convolution operation on the label text vector to classify the patent text. For the multi-level classification task of Chinese patents, the BERT pre-training model is used to fully capture the context semantic features of long text, solving the problem that the length of Chinese patent text is long and the semantic of professional vocabulary is difficult to understand. The label attention module fully excavates the label semantic information, and uses a matrix to dynamically update the label text vector closely related to the hierarchical content, which can fully model the hierarchical structure.

(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (10) International Publication Number (43) International Publication Date WO 2025 / 096028 A1 08 May 2025 (08.05.2025) WIPOIPCT (51) International Patent Classification: (72) Inventors: LU, He; 2300 Harrison Street, San Francisco, G06F 40 / 10 (2020.01) G06N 20 / 00 (2019.01) California 94110 (US). SCALES, Jordan; 2300 Harrison G06F 40 / 166 (2020.01) Street, San Francisco, California 94110 (US). VARMA, At- ul; 2300 Harrison Street, San Francisco, California 94110 (21) International Application Number: (US). PCT / US2024 / 038250 (74) Agent: SIITONEN, Anni et al.; P.O. Box 1247, Patent Pro- (22) International Filing Date: curement, Seattle, Washington 98111-1247 (US). 16 July 2024 (16.07.2024) (81) Designated States (unless otherwise indicated, for every (25) Filing Language: English kind of national protection available): AE, AG, AL, AM, (26) Publication Language: English AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CV, CZ, DE, DJ, DK, DM, (30) Priority Data: DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, 63 / 594,524 31 October 2023 (31.10.2023) US HN, HR, HU, ID, IL, IN, IQ, IR, IS, IT, JM, JO, JP, KE, KG, 18 / 408,429 09 January 2024 (09.01.2024) US KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, 18 / 408,449 09 January 2024 (09.01.2024) US MA, MD, MG, MK, MN, MU, MW, MX, MY, MZ, NA, 18 / 408,454 09 January 2024 (09.01.2024) US NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, 18 / 408,479 09 January 2024 (09.01.2024) US RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, ST, SV, SY, TH, (71) Applicant: NOTION LABS, INC. [US / US]; 2300 Harri- TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, WS, son Street, San Francisco, California 94110 (US). ZA, ZM, ZW. (54) Title: PROVIDING GENERATIVE ARTIFICIAL INTELLIGENCE (AI) CONTENT BASED ON EXISTING IN-PAGE CON- TENT IN A WORKSPACE 300 Compan. / / Al bio. Share is 305 AI Blocks 306 Al blocks are placed like ordinary Notion blocks, but contain as part of their metadata a prompt to a large language model. By default, the blocks display their intent (e.g. Summary this page) and a button to do SO. When the result of the large language model appears, the block updates to be a "container" of the AI output, with the ability to edit the prompt and re-run... + # "= Summarize this page with AI 302 Generate 304 309 308 Link The AI feature provides advantages such as displaying AI output at a specific position in the page and WO 2025 / 096028 A1 FIG. 3A (57) Abstract: A method for creating in-block content presented in a block on a page of a workspace. The block is configured to initiate a generative process to create in-block content of a particular type. The method includes determining a selection of in-page content based on a location of the block relative to the in-page content and the particular type of in-block content. The method can include causing a generative function to create generative content of the particular type based on the selection of the in-page content. The method can further include populating a block area to present the generative content. [Continued on next page] 20 26 20 54 06 08 J ul 2 02 6 0 8 J u l 2 0 2 6 W O 2 0 2 5 / 0 9 6 0 2 8 A 1 W I P O I P C T P C T / U S 2 0 2 4 / 0 3 8 2 5 0 2 0 2 6 2 0 5 4 0 6 U S M A , M D , M G , M K , M N , M U , M W , M X , M Y , M Z , N A , ( 5 4 ) T i t l e : P R O V I D I N G G E N E R A T I V E A R T I F I C I A L I N T E L L I G E N C E ( A I ) C O N T E N T B A S E D O N E X I S T I N G I N - P A G E C O N - 3 0 0 i s 3 0 5 3 0 6 + # A I 3 0 2 3 0 9 3 0 8 W O 2 0 2 5 / 0 9 6 0 2 8 A 1 F I G . 3 A

The invention discloses a liquid cooling device, a control method, a control system and a readable storage medium, relates to the field of heat dissipation, belongs to a heat exchange device in strategic emerging industry classification and international patent classification, and is used for enabling liquid supply back pressure of a distributed liquid cooling device to meet requirements. The liquid cooling device comprises a first flow path, a second flow path, a first pressure adjusting device, a back pressure pump and at least one heat exchange assembly. The second flow path communicates with the first flow path and is configured to receive the fluid passing through the heat exchange assembly. The first pressure adjustment device is attached to the first flow path. The back pressure pump is attached to the first flow path. Each heat exchange assembly comprises a first branch, a second branch, a heat exchanger, a liquid supply pump and a second pressure adjusting device. The second branch is located at the downstream of the first branch, and the heat exchanger is arranged between the first branch and the second branch; the liquid supply pump is positioned between the first branch and the heat exchanger; the second pressure adjusting device communicates with the first branch and is located on the upstream of the liquid supply pump. The scheme is flexible to adjust.

The application discloses a Chinese patent IPC classification method based on SBERT, comprising the following steps: corpus data preprocessing: extracting specific words and sentences from patent text to form first corpus data, and extracting term descriptions corresponding to categories from an IPC classification table according to categories to form second corpus data; data enhancement processing of the corpus data; text vectorization coding: inputting the first corpus data and the second corpus data into a first BERT pre-training model and a second BERT pre-training model under an SBERT framework respectively for vectorization coding to obtain vector representation of the patent text; similarity comparison: selecting a classification number according to a similarity ranking obtained by calculation. The application adopts SBERT with a twin structure as a framework of automatic classification of Chinese patents, takes patent text and term descriptions in an IPC classification table as two inputs of SBERT, and determines the patent category according to the closeness of two vectors after BERT vectorization coding, so that the calculation amount is reduced, the classification accuracy is improved, and multiple relevant IPC classification numbers are given.

The invention provides a patent text classification method, system and device, a storage medium and a program product, and the method comprises the steps: inputting a to-be-classified patent text into a pre-trained IPC classification integration model for IPC first-level classification, obtaining at least one IPC label, and achieving the pre-classification of patent IPC subclasses; all the IPC labels are matched with IPC label descriptions in a label database, and the IPC label descriptions corresponding to all the IPC labels are obtained; inputting the at least one IPC label, the IPC label description corresponding to each IPC label and the first target field in the patent text to be classified into a pre-trained IPC classification selection large model to carry out IPC second-level classification to obtain an IPC label classification result of the patent text to be classified, thereby realizing fine classification of the patent IPC group. And adaptability and accuracy of patent IPC classification can be effectively improved.

An apparatus for selecting promising technology according to the present invention comprises: an input interface for receiving a patent classification code and an industrial technology classification code; and a central processing unit for calculating a score or grade by extracting the number of company M&A transactions indicating acquisition of a company classified under the industrial technology classification code, or calculating a score or grade on the basis of the number of patents matching the patent classification code among patents of companies to be acquired, classified under the industrial technology classification code.

The invention provides a patent text data set construction method and device and a storage medium. The method comprises the steps of collecting patent text data to be processed; constructing a data classification tree based on the patent classification number corresponding to the patent text data to be processed; according to leaf nodes of the data classification tree, sample patent texts are extracted, and the sample patent texts can cover all patent technical feature information corresponding to the corresponding classification numbers; on the basis of a preset large language model, the sample patent text is converted into a patent text data set, the patent text data set comprises at least one text pair, and the text pair is used for representing interpretation type data and incidence relation data of the patent text; the association relationship data is used for describing one or more of association relationships among the technical problems, the technical schemes and the technical effects, and the interpretation class data is used for expressing one or more of the technical problems, the technical schemes and the technical effects. The problem that in the prior art, a patent text data set is low in quality is solved.