Difference between revisions of "Generative AI Patent Application Trends in 2024"
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== Top 10 CPC Codes == | == Top 10 CPC Codes == | ||
| − | * [[:Category:CPC_G06N20_00|CPC_G06N20/00]] | + | * [[:Category:CPC_G06N20_00|CPC_G06N20/00]] (AI models) |
** Count: 382 | ** Count: 382 | ||
** 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]] | ** 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]] | ||
| − | * [[:Category:CPC_G06N3_08|CPC_G06N3/08]] | + | * [[:Category:CPC_G06N3_08|CPC_G06N3/08]] (Computational models) |
** Count: 318 | ** Count: 318 | ||
** 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]] | ** 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]] | ||
| − | * [[:Category:CPC_G06N3_084|CPC_G06N3/084]] | + | * [[:Category:CPC_G06N3_084|CPC_G06N3/084]] (AI hardware) |
** Count: 52 | ** Count: 52 | ||
** Example: [[DeepNorth_Inc_20240046105_Image_Quality_Assessment_Using_Similar Scenes_as_Reference|DeepNorth Inc. (20240046105). Image Quality Assessment Using Similar Scenes as Reference]] | ** Example: [[DeepNorth_Inc_20240046105_Image_Quality_Assessment_Using_Similar Scenes_as_Reference|DeepNorth Inc. (20240046105). Image Quality Assessment Using Similar Scenes as Reference]] | ||
| − | * [[:Category:CPC_G06N20_20|CPC_G06N20/20]] | + | * [[:Category:CPC_G06N20_20|CPC_G06N20/20]] (Explainable AI) |
** Count: 51 | ** Count: 51 | ||
** 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]] | ** 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]] | ||
| − | * [[:Category:CPC_G06N3_082|CPC_G06N3/082]] | + | * [[:Category:CPC_G06N3_082|CPC_G06N3/082]] (Neural network construction) |
** Count: 49 | ** Count: 49 | ||
** 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]] | ** 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]] | ||
| − | * [[:Category:CPC_G06N5_04|CPC_G06N5/04]] | + | * [[:Category:CPC_G06N5_04|CPC_G06N5/04]] (Machine learning) |
** Count: 33 | ** Count: 33 | ||
** Example: [[o9_Solutions_Inc_20240028928_HIERARCHICAL_TOURNAMENT-BASED_MACHINE_LEARNING_PREDICTIONS|o9 Solutions, Inc. (20240028928). HIERARCHICAL TOURNAMENT-BASED MACHINE LEARNING PREDICTIONS]] | ** Example: [[o9_Solutions_Inc_20240028928_HIERARCHICAL_TOURNAMENT-BASED_MACHINE_LEARNING_PREDICTIONS|o9 Solutions, Inc. (20240028928). HIERARCHICAL TOURNAMENT-BASED MACHINE LEARNING PREDICTIONS]] | ||
| − | * [[:Category:CPC_G06T11_00|CPC_G06T11/00]] | + | * [[:Category:CPC_G06T11_00|CPC_G06T11/00]] (Image processing) |
** Count: 17 | ** Count: 17 | ||
** 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]] | ** 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]] | ||
| − | * [[:Category:CPC_G06N3_088|CPC_G06N3/088]] | + | * [[:Category:CPC_G06N3_088|CPC_G06N3/088]] (AI chatbots) |
** Count: 16 | ** Count: 16 | ||
** 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]] | ** 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]] | ||
| − | * [[:Category:CPC_G06T11_006|CPC_G06T11/006]] | + | * [[:Category:CPC_G06T11_006|CPC_G06T11/006]] (ML image reconstruction) |
** Count: 15 | ** Count: 15 | ||
** 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]] | ** 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]] | ||
| − | * [[:Category:CPC_G06T11_001|CPC_G06T11/001]] | + | * [[:Category:CPC_G06T11_001|CPC_G06T11/001]] (Image enhancement) |
** Count: 14 | ** Count: 14 | ||
** Example: [[Google_LLC_20240046532_Techniques_for_Reducing_Distractions_in_an_Image|Google LLC (20240046532). Techniques for Reducing Distractions in an Image]] | ** Example: [[Google_LLC_20240046532_Techniques_for_Reducing_Distractions_in_an_Image|Google LLC (20240046532). Techniques for Reducing Distractions in an Image]] | ||
Latest revision as of 08:10, 11 July 2024
Contents
- 1 Top Organizations Filing Generative AI Patent Applications up until 11 Jul 2024
- 2 Top Technology Trends in Generative AI Patent Applications
- 3 Top 10 Companies Applying for Generative AI Patents
- 4 Emerging technology areas in Generative AI
- 5 Top 10 Companies in Emerging Categories
- 6 Top 10 CPC Codes
- 7 Top 10 Emerging CPC Codes
Top Organizations Filing Generative AI Patent Applications up until 11 Jul 2024
Top Technology Trends in Generative AI Patent Applications
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Top 10 Companies Applying for Generative AI Patents
- Capital One Services, LLC: 178 patents
- Google LLC: 148 patents
- SAMSUNG ELECTRONICS CO., LTD.: 123 patents
- QUALCOMM Incorporated: 121 patents
- International Business Machines Corporation: 120 patents
- NVIDIA Corporation: 113 patents
- Microsoft Technology Licensing, LLC: 109 patents
- INTERNATIONAL BUSINESS MACHINES CORPORATION: 95 patents
- Intel Corporation: 88 patents
- Robert Bosch GmbH: 80 patents
Emerging technology areas in Generative AI
Emerging technology areas are defined as CPC codes with the lowest patent counts, potentially indicating newer or less established areas of innovation in generative AI.
_in_Generative_AI_Up_to_11_July_2024.png)
Top 10 Companies in Emerging Categories
- NVIDIA CORPORATION: 1 patent
- Eagle Technology, LLC: 1 patent
- Unknown: 1 patent
- Meta Platforms, Inc.: 1 patent
- NVIDIA Corporation: 1 patent
- United Imaging Intelligence: 1 patent
- Alipay: 1 patent
- JPMorgan Chase Bank, N.A.: 1 patent
- INTERNATIONAL BUSINESS MACHINES CORPORATION: 1 patent
- University of Central Florida Research Foundation, Inc.: 1 patent
Top 10 CPC Codes
- CPC_G06N20/00 (AI models)
- CPC_G06N3/08 (Computational models)
- CPC_G06N3/084 (AI hardware)
- CPC_G06N20/20 (Explainable AI)
- CPC_G06N3/082 (Neural network construction)
- CPC_G06N5/04 (Machine learning)
- CPC_G06T11/00 (Image processing)
- CPC_G06N3/088 (AI chatbots)
- CPC_G06T11/006 (ML image reconstruction)
- CPC_G06T11/001 (Image enhancement)
- Count: 14
- Example: Google LLC (20240046532). Techniques for Reducing Distractions in an Image
Top 10 Emerging CPC Codes
- CPC_G10L13/00 (Speech analysis/synthesis)
- CPC_G06N5/042 (Machine learning methods)
- CPC_G06N5/048 (Deep learning)
- CPC_G06N7/005 (Statistical methods)
- CPC_G06N5/043 (Neural networks)
- CPC_G06T11/003 (3D image processing)
- CPC_G06N20/10 (Quantum computing)
- CPC_G06N5/046 (AI learning models)
- CPC_G06N5/003 (Neural networks, hardware)
- CPC_G06N3/0895 (Neuromorphic computing)
