Generative AI patent applications on 14th August 2025
Generative AI Patent Applications on 14th August 2025
Executive Summary
On 14th August 2025, 165 patent applications related to Generative AI were published, representing 2.6% 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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- Microsoft Technology Licensing LLC: 10 applications (6.1% of Generative AI patents)
- Qomplx Llc: 8 applications (4.8% of Generative AI patents)
- Cisco Technology Inc: 6 applications (3.6% of Generative AI patents)
- Google LLC: 5 applications (3.0% of Generative AI patents)
- Oracle International Corporation: 4 applications (2.4% of Generative AI patents)
These 5 organizations account for 33 applications (20.0% 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): 51 applications (30.9%)
- G06F40/40 (ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models): 18 applications (10.9%)
- G06N3/0455 (Auto-encoder networks; Encoder-decoder networks): 11 applications (6.7%)
- G06N3/08 (Learning methods): 10 applications (6.1%)
- G06N3/045 (Combinations of networks): 10 applications (6.1%)
- G06N5/04 (Inference or reasoning models): 9 applications (5.5%)
- G06N3/0475 (Generative networks): 8 applications (4.8%)
- G06N3/042 (Knowledge-based neural networks; Logical representations of neural networks): 8 applications (4.8%)
- G06V10/82 (IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING): 7 applications (4.2%)
- G06N3/047 (Probabilistic or stochastic networks): 6 applications (3.6%)
Global Innovation Landscape
Innovation in Generative AI spans multiple countries:
- US: 390 inventors (63.9%)
- IN: 50 inventors (8.2%)
- CA: 29 inventors (4.8%)
- DE: 24 inventors (3.9%)
- IL: 20 inventors (3.3%)
- CN: 19 inventors (3.1%)
- JP: 13 inventors (2.1%)
- GB: 13 inventors (2.1%)
- CH: 10 inventors (1.6%)
- KR: 10 inventors (1.6%)
The US accounts for 63.9% of inventors in Generative AI, indicating strong domestic innovation leadership.
Industry Collaborations
Notable collaborations in Generative AI include:
- Smith & Nephew Inc × Smith & Nephew Asia Pacific Pte Limited: 1 joint applications
- Smith & Nephew Inc × Smith & Nephew Orthopaedics AG: 1 joint applications
- Smith & Nephew Asia Pacific Pte Limited × Smith & Nephew Orthopaedics AG: 1 joint applications
These collaborations represent 3 joint applications, indicating emerging collaboration trends in Generative AI.
Leading Inventors
Key inventors driving Generative AI innovation:
- Jason Crabtree of Vienna VA US: 8 applications
- Richard Kelley of Woodbridge VA US: 8 applications
- Jason Hopper of Halifax CA: 8 applications
- David Park of Fairfax VA US: 8 applications
- Tarun RAHEJA of Philadelphia PA US: 3 applications
- Raunak SINHA of Los Angeles CA US: 3 applications
- William HEALY of Riverside CT US: 3 applications
- Jayanth SRINIVASA of San Jose CA US: 3 applications
- Advit DEEPAK of San Jose CA US: 3 applications
- Ramana Rao V. R. KOMPELLA of Foster City CA US: 3 applications
Recent Patent Applications
Representative Generative AI patent applications from 14th August 2025:
20250255672. ALGORITHM-BASED OPTIMIZATION FOR KNEE ARTHROPLASTY PROCEDURES
Applicant: Smith & Nephew Inc, Smith & Nephew Asia Pacific Pte Limited, Smith & Nephew Orthopaedics AG
Abstract: A method for optimizing a knee arthroplasty surgical procedure includes receiving pre-operative data comprising (i) anatomical measurements of the patient, (ii) soft tissue measurements of the patient's anatomy, and (iii) implant parameters identifying an implant to be used in the knee arthroplasty surgical procedure. An equation set is selected from a plurality of pre-generated equation sets based on the pre-operative data. During the knee arthroplasty surgical procedure, patient-specific kinet...
20250256159. PREDICTIVE ANALYSIS SYSTEM FOR ATHLETIC PERFORMANCE
Applicant: Driveline Baseball Enterprises Llc
Abstract: A predictive analysis system for forecasting and optimizing athletic performance integrates predictive modeling, domain expertise, and multimodal athlete data into a closed-loop analytics framework that delivers personalized, contextual insights to athletes and coaches. The integrated architecture ingests diverse datasets, leverages sports science to train performant models, and generates actionable analytics to enhance training, inform game strategy, and prevent injury. Continual learning refin...
20250256208. ASSOCIATING ARTIFICIAL INTELLIGENCE (AI) GENERATED CONTENT WITH PLAYERS AND OUTCOMES
Applicant: IGT
Abstract: Embodiments of the present disclosure are directed to generating content for use in an electronic game using generative Artificial Intelligence (AI) and recording information about the content and use of the content in the game. The game can include content played on an Electronic Gaming Machine (EGM), video lottery terminal (VLT), kiosk, web browser, mobile phone or virtual reality device. The novel part of the invention is having the system store and associate which AI content and which AI pro...
20250256598. VEHICLE
Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA
Abstract: A vehicle includes: a motor; a battery that is connected to the motor through a system main relay; a first unit that is connected to the battery through the system main relay; and a second unit that is disposed adjacent to the first unit on a first side in a vehicle front-rear direction. The first unit includes: an isolation transformer including a primary coil and a secondary coil; a first electric circuit that is connected to the primary coil; and a second electric circuit that is connected to...
20250256740. Multi-Task Machine-Learned Models for Object Intention Determination in Autonomous Driving
Applicant: Aurora Operations Inc
Abstract: Generally, the disclosed systems and methods utilize multi-task machine-learned models for object intention determination in autonomous driving applications. For example, a computing system can receive sensor data obtained relative to an autonomous vehicle and map data associated with a surrounding geographic environment of the autonomous vehicle. The sensor data and map data can be provided as input to a machine-learned intent model. The computing system can receive a jointly determined predict...
Market Implications
Innovation Intensity
With 165 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 119 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, based, with, that, 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: 437 applications
- Semiconductors: 409 applications
- 5G Technology: 229 applications
- Cybersecurity: 225 applications
- Internet of Things: 171 applications
- Renewable Energy: 162 applications
- Environmental Tech: 133 applications
- Biotechnology: 127 applications