Generative AI patent applications on 18th September 2025
Generative AI Patent Applications on 18th September 2025
Executive Summary
On 18th September 2025, 176 patent applications related to Generative AI were published, representing 2.4% 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:
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- International Business Machines Corporation: 11 applications (6.2% of Generative AI patents)
- Microsoft Technology Licensing LLC: 11 applications (6.2% of Generative AI patents)
- Google LLC: 6 applications (3.4% of Generative AI patents)
- NVIDIA Corporation: 6 applications (3.4% of Generative AI patents)
- Softeye Inc: 4 applications (2.3% of Generative AI patents)
These 5 organizations account for 38 applications (21.6% 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): 55 applications (31.2%)
- G06N3/045 (Combinations of networks): 21 applications (11.9%)
- G06N3/0455 (Auto-encoder networks; Encoder-decoder networks): 9 applications (5.1%)
- G06N3/08 (Learning methods): 9 applications (5.1%)
- G06F40/284 (ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models): 8 applications (4.5%)
- G06F40/40 (ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models): 6 applications (3.4%)
- G06F40/20 (ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models): 5 applications (2.8%)
- G06V10/764 (IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING): 5 applications (2.8%)
- G06V10/82 (IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING): 5 applications (2.8%)
- G06F40/279 (ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models): 4 applications (2.3%)
Global Innovation Landscape
Innovation in Generative AI spans multiple countries:
- US: 328 inventors (49.8%)
- IN: 53 inventors (8.1%)
- CN: 39 inventors (5.9%)
- JP: 38 inventors (5.8%)
- GB: 30 inventors (4.6%)
- TW: 29 inventors (4.4%)
- KR: 26 inventors (4.0%)
- FR: 24 inventors (3.6%)
- DE: 20 inventors (3.0%)
- CH: 20 inventors (3.0%)
The US accounts for 49.8% of inventors in Generative AI, showing significant but not dominant innovation activity.
Industry Collaborations
Notable collaborations in Generative AI include:
- KABUSHIKI KAISHA TOSHIBA × Toshiba Digital Solutions Corp: 1 joint applications
- Inventec (Pudong) Technology Corp × Inventec Corp: 1 joint applications
- International Business Machines Corporation × Massachusetts Institute of Technology: 1 joint applications
- Genentech Inc × HOFFMANN-LA ROCHE INC: 1 joint applications
- Instadeep Ltd × BioNTech SE: 1 joint applications
These collaborations represent 5 joint applications, indicating emerging collaboration trends in Generative AI.
Leading Inventors
Key inventors driving Generative AI innovation:
- Edwin Chongwoo Park of San Diego CA US: 4 applications
- Aravind Natarajan of Dublin CA US: 4 applications
- Nathan Bodenstab of Eliot ME US: 4 applications
- William Ham of Pittsburgh PA US: 4 applications
- Eric Marshall of Bellevue WA US: 3 applications
- Arlie E. Coles of Rowlett TX US: 3 applications
- John Anderson of Burlington MA US: 3 applications
- Jerome Tremblay of Saguenay CA: 3 applications
- Seppo Andrew Rapo of Barnstable MA US: 3 applications
- Charles Grant Curtis, III of Seattle WA US: 3 applications
Recent Patent Applications
Representative Generative AI patent applications from 18th September 2025:
20250288773. Artificially Intelligent Systems, Methods and Media for Techniques Utilized to Access Subconscious and Unconscious States and Cause Behavioral Change
Applicant: Burble Inc
Abstract: Exemplary embodiments include a computer-implemented method of training a neural network and/or a large language model for automatically collecting, analyzing, and transmitting data to induce a mental state and change a behavior in a mammal.
20250289477. Systems and Methods Related to Controlling Autonomous Vehicle(s)
Applicant: Aurora Operations Inc
Abstract: Implementations process, using machine learning (ML) layer(s) of ML model(s), actor(s) from a past episode of locomotion of a vehicle and stream(s) in an environment of the vehicle during the past episode to forecast associated trajectories, for the vehicle and for each of the actor(s), with respect to a respective associated stream of the stream(s). Further, implementations process, using a stream connection function, the associated trajectories to forecast a plurality of associated trajectorie...
20250289663. AUTOMATED-SERVICE RETAIL SYSTEM AND METHOD
Applicant: Symbotic Llc
Abstract: A method for a combination store, providing an automated fulfillment system at a level of the combination store, the automated fulfillment system configured for receiving an order of one or more goods selected by a customer or customer proxy, the automated fulfillment system including a storage structure having a plurality of rack structures separated by aisles and a plurality of storage levels, the storage structure configured for storing and retrieving totes from the storage structure with at ...
20250289664. STORAGE, RETRIEVAL AND ORDER SORTATION ARRANGED IN VERTICAL ORIENTATION
Applicant: Tompkins Robotics Inc
Abstract: Order fulfillment system comprises an order sortation system and an article storage and retrieval system positioned directly above the order sortation system. A controller is configured to: receive an order; direct a retrieval mechanism to move a storage bin containing a first article required for the order to an output station; determine a first destination receptacle among a plurality of destination receptacles to deliver, with a computer controlled vehicle, the first article based on a destin...
20250290653. GENERATIVE ARTIFICIAL INTELLIGENCE INDOOR AIR CLEANING SYSTEM
Applicant: Microjet Technology Co Ltd
Abstract: A generative artificial intelligence indoor air cleaning system is disclosed and includes a storage center, an air quality detector, an application software, a calculation center and an gas purification device hardware. The storage center collects, stores and forms a big data database including professional generated data and user generated data. The application software inputs the professional generated data and the user generated data to be stored in the storage center. The calculation center ...
Market Implications
Innovation Intensity
With 176 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 122 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, from, based, learning, 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:
- Semiconductors: 575 applications
- Medical Devices: 433 applications
- 5G Technology: 246 applications
- Cybersecurity: 236 applications
- Internet of Things: 182 applications
- Renewable Energy: 175 applications
- Biotechnology: 169 applications
- Environmental Tech: 144 applications