Generative AI patent applications on 31st July 2025
Generative AI Patent Applications on 31st July 2025
Executive Summary
On 31st July 2025, 180 patent applications related to Generative AI were published, representing 2.5% of all patent applications for the day. This moderate level of activity shows Generative AI is gaining significant attention from innovators.
Market Analysis
Leading Organizations
The top organizations driving Generative AI innovation include:
Template:Newsletter signup box
- Walmart Apollo LLC: 11 applications (6.1% of Generative AI patents)
- Microsoft Technology Licensing LLC: 7 applications (3.9% of Generative AI patents)
- Intuit Inc: 7 applications (3.9% of Generative AI patents)
- Google LLC: 5 applications (2.8% of Generative AI patents)
- QUALCOMM Incorporated: 5 applications (2.8% of Generative AI patents)
These 5 organizations account for 35 applications (19.4% of all Generative AI patents), indicating a diverse and competitive landscape.
Technology Deep Dive
Core Innovation Areas
Patent applications in Generative AI encompass several key innovation areas:
- Generative Artificial Intelligence: Core technology area
- Large Language Model: Core technology area
- Llm: Core technology area
- Gpt: Core technology area
Emerging areas include:
- Transformer: Developing technology
Technical Classification Analysis
The most active CPC classifications in Generative AI include:
- G06N20/00 (Machine learning): 63 applications (35.0%)
- G06F40/40 (ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models): 16 applications (8.9%)
- G06N3/045 (Combinations of networks): 13 applications (7.2%)
- G06N3/0455 (Auto-encoder networks; Encoder-decoder networks): 10 applications (5.6%)
- G06F40/284 (ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models): 9 applications (5.0%)
- G06F40/30 (ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models): 7 applications (3.9%)
- G06F18/214 (Generating training patterns; Bootstrap methods, e.g. bagging or boosting): 6 applications (3.3%)
- G06F40/20 (ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models): 6 applications (3.3%)
- G06N3/08 (Learning methods): 6 applications (3.3%)
- G06N3/0475 (Generative networks): 5 applications (2.8%)
Global Innovation Landscape
Innovation in Generative AI spans multiple countries:
- US: 380 inventors (57.1%)
- IN: 48 inventors (7.2%)
- CA: 38 inventors (5.7%)
- CN: 36 inventors (5.4%)
- IL: 27 inventors (4.1%)
- KR: 26 inventors (3.9%)
- JP: 15 inventors (2.3%)
- DE: 12 inventors (1.8%)
- ES: 10 inventors (1.5%)
- GB: 10 inventors (1.5%)
The US accounts for 57.1% of inventors in Generative AI, showing significant but not dominant innovation activity.
Industry Collaborations
Notable collaborations in Generative AI include:
- Nordex Energy Spain Sau × Nordex Energy Se & Co Kg: 1 joint applications
- China Electric Power Research Institute × State Grid Corp Of China: 1 joint applications
- China Electric Power Research Institute × Chint Electric Corp: 1 joint applications
- State Grid Corp Of China × Chint Electric Corp: 1 joint applications
These collaborations represent 4 joint applications, indicating emerging collaboration trends in Generative AI.
Leading Inventors
Key inventors driving Generative AI innovation:
- Kannan Achan of Saratoga CA US: 5 applications
- Evren Korpeoglu of San Jose CA US: 4 applications
- Sushant Kumar of San Jose CA US: 4 applications
- Jianpeng Xu of Cupertino CA US: 3 applications
- Khalil Ben Ayed of Vancouver CA: 3 applications
- Leo Betthauser of Kirkland WA US: 3 applications
- Vedant Dharnidharka of Jersey City NJ US: 3 applications
- Haydn John Wiese of Fremont CA US: 3 applications
- Rong Tan Wang of Santa Clara CA US: 3 applications
- Seunghee Han of Santa Clara CA US: 3 applications
Recent Patent Applications
Representative Generative AI patent applications from 31st July 2025:
20250241538. ARTIFICIAL INTELLIGENCE-BASED ROBOTIC SYSTEM FOR PHYSICAL THERAPY
Applicant: Ar & Ns Investment Llc
Abstract: A robotic system for physical therapy includes a stimulus device having a modular arrangement with multiple slots to detachably attach different stimulus sub-devices. The system includes control circuitry that determines a set of test stimuli for a user based on a trained artificial intelligence (AI)-based system and applies the stimuli for a first test duration. Based on the AI output, the system generates a physical stimulation instructions pack specific to the user. The instructions pack incl...
20250241717. WIRELESS ARCHITECTURES FOR SURGICAL ROBOTIC SYSTEMS
Applicant: Covidien LP
Abstract: A surgical robotic system includes a control tower and a robotic system component. The control tower includes a tower Li-Fi transceiver configured to communicate on a first communication data channel. The robotic system component includes a robotic system component Li-Fi transceiver configured to communicate first data, and a self-aligning mechanism. The self aligning mechanism includes an imaging device configured to capture images configured to allow detection of a detected a geospatial locati...
20250242420. METHOD AND SYSTEM FOR IDENTIFICATION OF KEY BLANK PART NUMBERS
Applicant: Clk Supplies Llc
Abstract: One or more machine learning models are trained to search an image database to find images that are visually similar to images of cut keys, and a key blank identification system, which utilizes the trained machine learning models, is provided to a user. The user uploads one or more images of a cut key, the trained machine learning models identify one or more key blank part numbers that match with the cut key images, and the results are presented to the user. The user provides feedback relating t...
20250242807. METHOD AND SYSTEM OF ROAD DRIVING OPTIMIZATION WITH DECOUPLING OF VEHICLE STATUS AND TRAFFIC FACTORS
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Abstract: A method and system of road driving optimization, having vehicle sensors configured to collect external sensor data, vehicle-state data, and communications data; a control module configured to analyze the collected data to detect a trigger event, a status of a target vehicle, an achievable speed range, and instant traction force; a decoupling estimator module configured to analyze the trigger event, the status of the target vehicle, the achievable speed range, and a personalized driver profile t...
20250242836. TECHNIQUES FOR CONTROLLING VEHICLES USING PARALLELIZED MACHINE LEARNING MODELS
Applicant: NVIDIA Corporation
Abstract: One embodiment of a method for controlling a vehicle includes receiving sensor data and information associated with the vehicle, and processing the sensor data and the information via a machine learning model in which a plurality of modules execute in parallel based on one or more cross-attention features to generate a planned motion for the vehicle.
Market Implications
Innovation Intensity
With 180 applications in a single day, Generative AI demonstrates very high innovation intensity, suggesting rapid technological advancement and strong commercial interest.
Competitive Landscape
Innovation in Generative AI involves 117 organizations, indicating a highly competitive and diverse landscape with many players investing in R&D.
Technology Outlook
Emerging themes in Generative AI patents include: data, model, with, based, user, suggesting future development in these areas.
The current patent activity level suggests Generative AI is in a growth phase with increasing market adoption and investment.
Related Technology Areas
Innovation in Generative AI often intersects with other emerging technologies:
- Medical Devices: 448 applications
- Semiconductors: 429 applications
- Cybersecurity: 289 applications
- Renewable Energy: 182 applications
- Environmental Tech: 165 applications
- 5G Technology: 154 applications
- Internet of Things: 152 applications
- Biotechnology: 139 applications