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| | ==Patent Trends by Technology in 2024== | | ==Patent Trends by Technology in 2024== |
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| − | === Generative AI ===
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| − | ==Top Organizations Filing Generative AI Patent Applications up until 11 Jul 2024==
| + | [[Generative AI Patent Application Trends in 2024]] |
| − | [[File:Generative ai patents update 11 jul 2024.png|border|800px|Top Organizations Filing Generative AI Patent Applications up until 11 Jul 2024]] | |
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| − | ==Top Technology Trends in Generative AI Patent Applications==
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| − | [[File:Top technology areas (CPC) in Generative AI Up to 11 July 2024.png|border|800px|Top technology areas (CPC) in Generative AI Up to 11 July 2024]]
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| − | [[File:Emerging technology areas (CPC) in Generative AI Up to 11 July 2024.png|border|800px|Top technology areas (CPC) in Generative AI Up to 11 July 2024]]
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| − | | |
| − | == CPC Codes ==
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| − | * [[:Category:CPC_G06N20_00]]
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| − | ** Count: 382
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| − | ** Example: [[ZestFinance_Inc_20240046158_SYSTEMS_AND_METHODS_FOR_DECOMPOSITION_OF_DIFFERENTIABLE_AND_NON-DIFFERENTIABLE_MODELS|ZestFinance, Inc. (20240046158). SYSTEMS AND METHODS FOR DECOMPOSITION OF DIFFERENTIABLE AND NON-DIFFERENTIABLE MODELS]]
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| − | * [[Category:CPC_G06N3_08]]
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| − | ** Count: 318
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| − | ** Example: [[Applied_Materials_Inc_20240046096_PREDICTIVE_MODELING_OF_A_MANUFACTURING_PROCESS_USING_A_SET_OF_TRAINED_INVERTED_MODELS|Applied Materials, Inc. (20240046096). PREDICTIVE MODELING OF A MANUFACTURING PROCESS USING A SET OF TRAINED INVERTED MODELS]]
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| − | * [[Category:CPC_G06N3_084]]
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| − | ** Count: 52
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| − | ** Example: [[DeepNorth_Inc_20240046105_Image_Quality_Assessment_Using_Similar
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| − | Scenes_as_Reference|DeepNorth Inc. (20240046105). Image Quality Assessment Using Similar
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| − | Scenes as Reference]]
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| − | * [[Category:CPC_G06N20_20]]
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| − | ** Count: 51
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| − | ** Example: [[Board_of_Regents_The_University_of_Texas_System_20240046162_Explainable_Artificial_Intelligence_Toolset_for_Extracting_Logic_Inherent_in_Machine_Learning_Models|Board of Regents, The University of Texas System (20240046162). Explainable Artificial Intelligence Toolset for Extracting Logic Inherent in Machine Learning Models]]
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| − | * [[Category:CPC_G06N3_082]]
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| − | ** Count: 49
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| − | ** Example: [[MITSUBISHI_ELECTRIC_CORPORATION_20240046101_NEURAL_NETWORK_CONSTRUCTION_DEVICE_NEURAL_NETWORK_CONSTRUCTION_METHOD_IMAGE_PROCESSING_DEVICE_AND_IMAGE_PROCESSING_METHOD|MITSUBISHI ELECTRIC CORPORATION (20240046101). NEURAL NETWORK CONSTRUCTION DEVICE, NEURAL NETWORK CONSTRUCTION METHOD, IMAGE PROCESSING DEVICE, AND IMAGE PROCESSING METHOD]]
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| − | * [[Category:CPC_G06N5_04]]
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| − | ** Count: 33
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| − | ** Example: [[o9_Solutions_Inc_20240028928_HIERARCHICAL_TOURNAMENT-BASED_MACHINE_LEARNING_PREDICTIONS|o9 Solutions, Inc. (20240028928). HIERARCHICAL TOURNAMENT-BASED MACHINE LEARNING PREDICTIONS]]
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| − | * [[Category:CPC_G06T11_00]]
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| − | ** Count: 17
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| − | ** Example: [[CANON_KABUSHIKI_KAISHA_20240029321_IMAGE_PROCESSING_METHOD_IMAGE_PROCESSING_APPARATUS_STORAGE_MEDIUM_IMAGE_PROCESSING_SYSTEM_METHOD_OF_GENERATING_MACHINE_LEARNING_MODEL_AND_LEARNING_APPARATUS|CANON KABUSHIKI KAISHA (20240029321). IMAGE PROCESSING METHOD, IMAGE PROCESSING APPARATUS, STORAGE MEDIUM, IMAGE PROCESSING SYSTEM, METHOD OF GENERATING MACHINE LEARNING MODEL, AND LEARNING APPARATUS]]
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| − | * [[Category:CPC_G06N3_088]]
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| − | ** Count: 16
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| − | ** Example: [[Cambia_Health_Solutions_Inc_20240046108_SYSTEMS_AND_METHODS_FOR_CONTINUAL_UPDATING_OF_RESPONSE_GENERATION_BY_AN_ARTIFICIAL_INTELLIGENCE_CHATBOT|Cambia Health Solutions, Inc. (20240046108). SYSTEMS AND METHODS FOR CONTINUAL UPDATING OF RESPONSE GENERATION BY AN ARTIFICIAL INTELLIGENCE CHATBOT]]
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| − | * [[Category:CPC_G06T11_006]]
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| − | ** Count: 15
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| − | ** Example: [[UNIVERSITY_OF_IOWA_RESEARCH_FOUNDATION_20240153164_MULTILAYER_PERCEPTRON_FOR_ML_IMAGE_RECONSTRUCTION|UNIVERSITY OF IOWA RESEARCH FOUNDATION (20240153164). MULTILAYER PERCEPTRON FOR ML IMAGE RECONSTRUCTION]]
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| − | * [[Category:CPC_G06T11_001]]
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| − | ** Count: 14
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| − | ** Example: [[Google_LLC_20240046532_Techniques_for_Reducing_Distractions_in_an_Image|Google LLC (20240046532). Techniques for Reducing Distractions in an Image]]
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| − | * [[Category:CPC_G06N3_006]]
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| − | ** Count: 11
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| − | ** Example: [[RN_CHIDAKASHI_TECHNOLOGIES_PRIVATE_LIMITED_20240046064_SYSTEM_AND_METHOD_OF_SELF-LEARNING_FROM_AN_AUTOMATIC_QUERY_RESPONSE_GENERATOR_USING_MACHINE_LEARNING_MODEL|RN CHIDAKASHI TECHNOLOGIES PRIVATE LIMITED (20240046064). SYSTEM AND METHOD OF SELF-LEARNING FROM AN AUTOMATIC QUERY RESPONSE GENERATOR USING MACHINE LEARNING MODEL]]
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| − | * [[Category:CPC_G06N3_10]]
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| − | ** Count: 11
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| − | ** Example: [[Samsung_Electronics_Co_Ltd_20240028910_MODELING_METHOD_OF_NEURAL_NETWORK_FOR_SIMULATION_IN_SEMICONDUCTOR_DESIGN_PROCESS_SIMULATION_METHOD_IN_SEMICONDUCTOR_DESIGN_PROCESS_USING_THE_SAME_MANUFACTURING_METHOD_OF_SEMICONDUCTOR_DEVICE_USING_THE_SAME_AND_SEMICONDUCTOR_DESIGN_SYSTEM_PERFORMING_THE_SAME|Samsung Electronics Co., Ltd. (20240028910). MODELING METHOD OF NEURAL NETWORK FOR SIMULATION IN SEMICONDUCTOR DESIGN PROCESS, SIMULATION METHOD IN SEMICONDUCTOR DESIGN PROCESS USING THE SAME, MANUFACTURING METHOD OF SEMICONDUCTOR DEVICE USING THE SAME, AND SEMICONDUCTOR DESIGN SYSTEM PERFORMING THE SAME]]
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| − | * [[Category:CPC_G06N5_045]]
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| − | ** Count: 9
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| − | ** Example: [[SONY_GROUP_CORPORATION_20240152788_INFORMATION_PROCESSING_SYSTEM_INFORMATION_PROCESSING_METHOD_AND_PROGRAM|SONY GROUP CORPORATION (20240152788). INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND PROGRAM]]
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| − | * [[Category:CPC_G06T11_008]]
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| − | ** Count: 8
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| − | ** Example: [[GE_Precision_Healthcare_LLC_20240046535_SYSTEM_AND_METHOD_FOR_PET-CT_IMAGE_ARTIFACT_EVALUATION_AND_CORRECTION|GE Precision Healthcare LLC (20240046535). SYSTEM AND METHOD FOR PET-CT IMAGE ARTIFACT EVALUATION AND CORRECTION]]
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| − | * [[Category:CPC_G06N3_086]]
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| − | ** Count: 7
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| − | ** Example: [[DeepMind_Technologies_Limited_20240046106_MULTI-TASK_NEURAL_NETWORKS_WITH_TASK-SPECIFIC_PATHS|DeepMind Technologies Limited (20240046106). MULTI-TASK NEURAL NETWORKS WITH TASK-SPECIFIC PATHS]]
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| − | * [[Category:CPC_G06T11_005]]
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| − | ** Count: 7
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| − | ** Example: [[SHANGHAI_UNITED_IMAGING_HEALTHCARE_CO_LTD_20240029324_METHOD_FOR_IMAGE_RECONSTRUCTION_COMPUTER_DEVICE_AND_STORAGE_MEDIUM|SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD. (20240029324). METHOD FOR IMAGE RECONSTRUCTION, COMPUTER DEVICE AND STORAGE MEDIUM]]
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| − | * [[Category:CPC_G06N3_0895]]
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| − | ** Count: 6
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| − | ** Example: [[University_of_Central_Florida_Research_Foundation_Inc_20240095537_UNKNOWN-CLASS_OUT-OF-DISTRIBUTION_DATA_DETECTION_IN_MACHINE_LEARNING_MODELS|University of Central Florida Research Foundation, Inc. (20240095537). UNKNOWN-CLASS (OUT-OF-DISTRIBUTION) DATA DETECTION IN MACHINE LEARNING MODELS]]
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| − | * [[Category:CPC_G06N3_02]]
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| − | ** Count: 6
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| − | ** Example: [[Cilag_GmbH_International_20240220763_DATA_VOLUME_DETERMINATION_FOR_SURGICAL_MACHINE_LEARNING_APPLICATIONS|Cilag GmbH International (20240220763). DATA VOLUME DETERMINATION FOR SURGICAL MACHINE LEARNING APPLICATIONS]]
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| − | * [[Category:CPC_G06N20_10]]
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| − | ** Count: 4
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| − | ** Example: [[Alipay_Hangzhou_Information_Technology_Co_Ltd_20240112091_METHODS_APPARATUSES_AND_SYSTEMS_FOR_MULTI-PARTY_COLLABORATIVE_MODEL_UPDATING_FOR_PRIVACY_PROTECTION|Alipay (Hangzhou) Information Technology Co., Ltd. (20240112091). METHODS, APPARATUSES, AND SYSTEMS FOR MULTI-PARTY COLLABORATIVE MODEL UPDATING FOR PRIVACY PROTECTION]]
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| − | * [[Category:CPC_G06N5_046]]
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| − | ** Count: 4
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| − | ** Example: [[JPMorgan_Chase_Bank_NA_20240028932_TRANSLATION-BASED_ALGORITHM_FOR_GENERATING_GLOBAL_AND_EFFICIENT_COUNTERFACTUAL_EXPLANATIONS_IN_ARTIFICIAL_INTELLIGENCE|JPMorgan Chase Bank, N.A. (20240028932). TRANSLATION-BASED ALGORITHM FOR GENERATING GLOBAL AND EFFICIENT COUNTERFACTUAL EXPLANATIONS IN ARTIFICIAL INTELLIGENCE]]
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| − | * [[Category:CPC_G06N5_003]]
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| − | ** Count: 4
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| − | ** Example: [[INTERNATIONAL_BUSINESS_MACHINES_CORPORATION_20240070476_OPTIMAL_CONSTRAINED_MULTIWAY_SPLIT_CLASSIFICATION_TREE|INTERNATIONAL BUSINESS MACHINES CORPORATION (20240070476). OPTIMAL CONSTRAINED MULTIWAY SPLIT CLASSIFICATION TREE]]
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| − | * [[Category:CPC_G06N5_043]]
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| − | ** Count: 3
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| − | ** Example: [[NVIDIA_Corporation_20240193445_DOMAIN-CUSTOMIZABLE_MODELS_FOR_CONVERSATIONAL_AI_SYSTEMS_AND_APPLICATIONS|NVIDIA Corporation (20240193445). DOMAIN-CUSTOMIZABLE MODELS FOR CONVERSATIONAL AI SYSTEMS AND APPLICATIONS]]
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| − | * [[Category:CPC_G06T11_003]]
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| − | ** Count: 3
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| − | ** Example: [[United_Imaging_Intelligence_Beijing_Co_Ltd_20240095976_SYSTEMS_AND_METHODS_ASSOCIATED_WITH_BREAST_TOMOSYNTHESIS|United Imaging Intelligence (Beijing) Co., Ltd. (20240095976). SYSTEMS AND METHODS ASSOCIATED WITH BREAST TOMOSYNTHESIS]]
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| − | * [[Category:CPC_G06N5_048]]
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| − | ** Count: 2
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| − | ** Example: [[Unknown_20240185103_Reinforcement_Learning-Based_Semantic_Method_and_System|Unknown (20240185103). Reinforcement Learning-Based Semantic Method and System]]
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| − | * [[Category:CPC_G06N7_005]]
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| − | ** Count: 2
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| − | ** Example: [[Meta_Platforms_Inc_20240028933_DETERMINING_INTENT_BASED_ON_USER_INTERACTION_DATA|Meta Platforms, Inc. (20240028933). DETERMINING INTENT BASED ON USER INTERACTION DATA]]
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| − | * [[Category:CPC_G10L13_00]]
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| − | ** Count: 1
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| − | ** Example: [[NVIDIA_CORPORATION_20240127788_CUSTOMIZING_TEXT-TO-SPEECH_LANGUAGE_MODELS_USING_ADAPTERS_FOR_CONVERSATIONAL_AI_SYSTEMS_AND_APPLICATIONS|NVIDIA CORPORATION (20240127788). CUSTOMIZING TEXT-TO-SPEECH LANGUAGE MODELS USING ADAPTERS FOR CONVERSATIONAL AI SYSTEMS AND APPLICATIONS]]
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| − | * [[Category:CPC_G06N5_042]]
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| − | ** Count: 1
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| − | ** Example: [[Eagle_Technology_LLC_20240037426_AUTOMATIC_DEPENDENT_SURVEILLANCE_BROADCAST_ADS-B_SYSTEM_PROVIDING_ANOMALY_DETECTION_AND_RELATED_METHODS|Eagle Technology, LLC (20240037426). AUTOMATIC DEPENDENT SURVEILLANCE BROADCAST (ADS-B) SYSTEM PROVIDING ANOMALY DETECTION AND RELATED METHODS]]
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| − | First 10 CPC codes:
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| − | G06N3/08: 318 patents, Example: Applied Materials, Inc. (20240046096). PREDICTIVE MODELING OF A MANUFACTURING PROCESS USING A SET OF TRAINED INVERTED MODELS
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| − | G06N3/084: 52 patents, Example: DeepNorth Inc. (20240046105). Image Quality Assessment Using Similar
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| − | Scenes as Reference
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| − | G06N3/086: 7 patents, Example: DeepMind Technologies Limited (20240046106). MULTI-TASK NEURAL NETWORKS WITH TASK-SPECIFIC PATHS
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| − | G06N3/0895: 6 patents, Example: University of Central Florida Research Foundation, Inc. (20240095537). UNKNOWN-CLASS (OUT-OF-DISTRIBUTION) DATA DETECTION IN MACHINE LEARNING MODELS
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| − | G06N5/043: 3 patents, Example: NVIDIA Corporation (20240193445). DOMAIN-CUSTOMIZABLE MODELS FOR CONVERSATIONAL AI SYSTEMS AND APPLICATIONS
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| − | G06N20/00: 382 patents, Example: ZestFinance, Inc. (20240046158). SYSTEMS AND METHODS FOR DECOMPOSITION OF DIFFERENTIABLE AND NON-DIFFERENTIABLE MODELS
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| − | G06N20/20: 51 patents, Example: Board of Regents, The University of Texas System (20240046162). Explainable Artificial Intelligence Toolset for Extracting Logic Inherent in Machine Learning Models
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| − | G06T11/00: 17 patents, Example: CANON KABUSHIKI KAISHA (20240029321). IMAGE PROCESSING METHOD, IMAGE PROCESSING APPARATUS, STORAGE MEDIUM, IMAGE PROCESSING SYSTEM, METHOD OF GENERATING MACHINE LEARNING MODEL, AND LEARNING APPARATUS
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| − | G06T11/001: 14 patents, Example: Google LLC (20240046532). Techniques for Reducing Distractions in an Image
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| − | G06T11/008: 8 patents, Example: GE Precision Healthcare LLC (20240046535). SYSTEM AND METHOD FOR PET-CT IMAGE ARTIFACT EVALUATION AND CORRECTION
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