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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|800px|thumb|left]]
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| − | [[File:Emerging technology areas (CPC) in Generative AI Up to 11 July 2024.png|800px|thumb|left]]
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| − | == CPC Codes ==
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| − | * G06N20/00
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| − | ** Count: 382
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| − | ** Example: SYSTEMS AND METHODS FOR DECOMPOSITION OF DIFFERENTIABLE AND NON-DIFFERENTIABLE MODELS
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| − | * G06N3/08
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| − | ** Count: 318
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| − | ** Example: PREDICTIVE MODELING OF A MANUFACTURING PROCESS USING A SET OF TRAINED INVERTED MODELS
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| − | * G06N3/084
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| − | ** Count: 52
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| − | ** Example: Image Quality Assessment Using Similar
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| − | Scenes as Reference
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| − | * G06N20/20
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| − | ** Count: 51
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| − | ** Example: Explainable Artificial Intelligence Toolset for Extracting Logic Inherent in Machine Learning Models
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| − | * G06N3/082
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| − | ** Count: 49
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| − | ** Example: NEURAL NETWORK CONSTRUCTION DEVICE, NEURAL NETWORK CONSTRUCTION METHOD, IMAGE PROCESSING DEVICE, AND IMAGE PROCESSING METHOD
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| − | * G06N5/04
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| − | ** Count: 33
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| − | ** Example: HIERARCHICAL TOURNAMENT-BASED MACHINE LEARNING PREDICTIONS
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| − | * G06T11/00
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| − | ** Count: 17
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| − | ** Example: IMAGE PROCESSING METHOD, IMAGE PROCESSING APPARATUS, STORAGE MEDIUM, IMAGE PROCESSING SYSTEM, METHOD OF GENERATING MACHINE LEARNING MODEL, AND LEARNING APPARATUS
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| − | * G06N3/088
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| − | ** Count: 16
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| − | ** Example: SYSTEMS AND METHODS FOR CONTINUAL UPDATING OF RESPONSE GENERATION BY AN ARTIFICIAL INTELLIGENCE CHATBOT
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| − | * G06T11/006
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| − | ** Count: 15
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| − | ** Example: MULTILAYER PERCEPTRON FOR ML IMAGE RECONSTRUCTION
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| − | * G06T11/001
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| − | ** Count: 14
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| − | ** Example: Techniques for Reducing Distractions in an Image
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| − | * G06N3/006
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| − | ** Count: 11
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| − | ** Example: SYSTEM AND METHOD OF SELF-LEARNING FROM AN AUTOMATIC QUERY RESPONSE GENERATOR USING MACHINE LEARNING MODEL
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| − | * G06N3/10
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| − | ** Count: 11
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| − | ** Example: 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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| − | * G06N5/045
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| − | ** Count: 9
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| − | ** Example: INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND PROGRAM
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| − | * G06T11/008
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| − | ** Count: 8
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| − | ** Example: SYSTEM AND METHOD FOR PET-CT IMAGE ARTIFACT EVALUATION AND CORRECTION
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| − | * G06N3/086
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| − | ** Count: 7
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| − | ** Example: MULTI-TASK NEURAL NETWORKS WITH TASK-SPECIFIC PATHS
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| − | * G06T11/005
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| − | ** Count: 7
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| − | ** Example: METHOD FOR IMAGE RECONSTRUCTION, COMPUTER DEVICE AND STORAGE MEDIUM
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| − | * G06N3/0895
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| − | ** Count: 6
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| − | ** Example: UNKNOWN-CLASS (OUT-OF-DISTRIBUTION) DATA DETECTION IN MACHINE LEARNING MODELS
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| − | * G06N3/02
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| − | ** Count: 6
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| − | ** Example: DATA VOLUME DETERMINATION FOR SURGICAL MACHINE LEARNING APPLICATIONS
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| − | * G06N20/10
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| − | ** Count: 4
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| − | ** Example: METHODS, APPARATUSES, AND SYSTEMS FOR MULTI-PARTY COLLABORATIVE MODEL UPDATING FOR PRIVACY PROTECTION
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| − | * G06N5/046
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| − | ** Count: 4
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| − | ** Example: TRANSLATION-BASED ALGORITHM FOR GENERATING GLOBAL AND EFFICIENT COUNTERFACTUAL EXPLANATIONS IN ARTIFICIAL INTELLIGENCE
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| − | * G06N5/003
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| − | ** Count: 4
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| − | ** Example: OPTIMAL CONSTRAINED MULTIWAY SPLIT CLASSIFICATION TREE
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| − | * G06N5/043
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| − | ** Count: 3
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| − | ** Example: DOMAIN-CUSTOMIZABLE MODELS FOR CONVERSATIONAL AI SYSTEMS AND APPLICATIONS
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| − | * G06T11/003
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| − | ** Count: 3
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| − | ** Example: SYSTEMS AND METHODS ASSOCIATED WITH BREAST TOMOSYNTHESIS
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| − | * G06N5/048
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| − | ** Count: 2
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| − | ** Example: Reinforcement Learning-Based Semantic Method and System
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| − | * G06N7/005
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| − | ** Count: 2
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| − | ** Example: DETERMINING INTENT BASED ON USER INTERACTION DATA
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| − | * G10L13/00
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| − | ** Count: 1
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| − | ** Example: CUSTOMIZING TEXT-TO-SPEECH LANGUAGE MODELS USING ADAPTERS FOR CONVERSATIONAL AI SYSTEMS AND APPLICATIONS
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| − | * G06N5/042
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| − | ** Count: 1
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| − | ** Example: 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: PREDICTIVE MODELING OF A MANUFACTURING PROCESS USING A SET OF TRAINED INVERTED MODELS
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| − | G06N3/084: 52 patents, Example: Image Quality Assessment Using Similar
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| − | | |
| − | Scenes as Reference
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| − | G06N3/086: 7 patents, Example: MULTI-TASK NEURAL NETWORKS WITH TASK-SPECIFIC PATHS
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| − | G06N3/0895: 6 patents, Example: UNKNOWN-CLASS (OUT-OF-DISTRIBUTION) DATA DETECTION IN MACHINE LEARNING MODELS
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| − | G06N5/043: 3 patents, Example: DOMAIN-CUSTOMIZABLE MODELS FOR CONVERSATIONAL AI SYSTEMS AND APPLICATIONS
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| − | G06N20/00: 382 patents, Example: SYSTEMS AND METHODS FOR DECOMPOSITION OF DIFFERENTIABLE AND NON-DIFFERENTIABLE MODELS
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| − | G06N20/20: 51 patents, Example: Explainable Artificial Intelligence Toolset for Extracting Logic Inherent in Machine Learning Models
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| − | G06T11/00: 17 patents, Example: 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: Techniques for Reducing Distractions in an Image
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| − | G06T11/008: 8 patents, Example: SYSTEM AND METHOD FOR PET-CT IMAGE ARTIFACT EVALUATION AND CORRECTION
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