Generative AI patent applications on 7th August 2025
Generative AI Patent Applications on 7th August 2025
Executive Summary
On 7th August 2025, 152 patent applications related to Generative AI were published, representing 2.2% 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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- Google LLC: 5 applications (3.3% of Generative AI patents)
- Insight Direct Usa Inc: 5 applications (3.3% of Generative AI patents)
- Electronics and Telecommunications Research Institute: 4 applications (2.6% of Generative AI patents)
- BANK OF AMERICA CORPORATION: 3 applications (2.0% of Generative AI patents)
- Cisco Technology Inc: 3 applications (2.0% of Generative AI patents)
These 5 organizations account for 20 applications (13.2% 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 (36.2%)
- G06N3/045 (Combinations of networks): 12 applications (7.9%)
- G06N3/08 (Learning methods): 11 applications (7.2%)
- G06N3/0455 (Auto-encoder networks; Encoder-decoder networks): 9 applications (5.9%)
- G06F40/40 (ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models): 7 applications (4.6%)
- G06V10/82 (IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING): 4 applications (2.6%)
- G16H10/60 (for patient-specific data, e.g. for electronic patient records): 4 applications (2.6%)
- G06F16/33295 ({Natural language query formulation or dialogue systems}): 4 applications (2.6%)
- G06N5/04 (Inference or reasoning models): 4 applications (2.6%)
- G06N3/047 (Probabilistic or stochastic networks): 4 applications (2.6%)
Global Innovation Landscape
Innovation in Generative AI spans multiple countries:
- US: 268 inventors (50.8%)
- IN: 37 inventors (7.0%)
- KR: 32 inventors (6.1%)
- CA: 27 inventors (5.1%)
- CN: 25 inventors (4.7%)
- TW: 20 inventors (3.8%)
- CH: 19 inventors (3.6%)
- DE: 16 inventors (3.0%)
- IL: 14 inventors (2.7%)
- JP: 8 inventors (1.5%)
The US accounts for 50.8% of inventors in Generative AI, showing significant but not dominant innovation activity.
Industry Collaborations
Notable collaborations in Generative AI include:
- University Of Electronic Science And Technology Of China × Sichuan Digital Economy Research Institute (Yibin): 1 joint applications
- IHI Corporation × Katayanagi Institute: 1 joint applications
- Mohamed Bin Zayed University Of Artificial Intelligence × Yeda Research And Development Co Ltd: 1 joint applications
These collaborations represent 3 joint applications, indicating emerging collaboration trends in Generative AI.
Leading Inventors
Key inventors driving Generative AI innovation:
- Joshua Spiers of Renton WA US: 4 applications
- Shailendra Singh of Maharashtra IN: 2 applications
- Souvik Sen of Sunnyvale CA US: 2 applications
- Surojit Chatterjee of Los Altos CA US: 2 applications
- Armando Montalvo of Winter Garden FL US: 2 applications
- Myungjin LEE of Bellevue WA US: 2 applications
- Jaemin SHIN of Seattle WA US: 2 applications
- Ramana Rao V. R. KOMPELLA of Foster City CA US: 2 applications
- Suman Dwari of Vernon CT US: 2 applications
- Parikshith Channegowda of Marlborough CT US: 2 applications
Recent Patent Applications
Representative Generative AI patent applications from 7th August 2025:
20250248602. ARTIFICIAL INTELLIGENCE-BASED ROBOTIC SYSTEM FOR PHYSICAL THERAPY
Applicant: Ar & Ns Investment Llc
Abstract: A robotic system for physical therapy includes a stimulus device, a server arrangement with a first artificial intelligence (AI)-based system, and control circuitry. During a training phase, the server arrangement instructs multiple robotic systems to apply various stimuli to test users and collects stimulus-response pairs that identify a stimulus type and a corresponding response level. The system generates a one-stimulus multi-response (OSMR) dataset from the collected data and updates a secon...
20250249231. SYSTEMS AND METHODS FOR PREDICTING PATIENT HEALTH STATUS
Applicant: ABIOMED Inc
Abstract: Systems and methods are provided herein for treating a patient in cardiogenic shock. An intravascular heart pump system is inserted into vasculature of the patient. The heart pump system has a cannula, pump outlet, pump inlet, and rotor. The heart pump system is positioned within the patient such that the cannula extends across the patient's aortic valve, the pump inlet is located within the patient's left ventricle, and the pump outlet is located within the patient's aorta. Data related to time...
20250249285. NEURAL NETWORK-BASED RADIATION DOSE DETERMINATION
Applicant: Siemens Healthineers International Ag
Abstract: A neural network (such as a transformer neural network) configured to determine radiation doses can be trained using a training corpus that comprises a plurality of different resultant radiation doses (such as, but not limited to, sparsely-written resultant radiation doses) and a plurality of different input items that each correspond to a particular one of the plurality of different resultant radiation doses. Those input items can comprise at least one, two, three, or each of a patient image (s...
20250249481. System And Methods For Controlling Patient Leakage Current In A Surgical System
Applicant: Stryker Corporation
Abstract: Control consoles and methods for supplying a drive signal to a surgical tool are provided. The control console comprises a transformer with primary and secondary windings. The primary winding receives an input signal from a power source and induces the drive signal in the secondary winding to supply the drive signal to the surgical tool. A first current source comprising a leakage control winding is coupled to a path of the drive signal. The primary winding induces a first cancellation current i...
20250249592. POSE CORRECTION FOR ROBOTICS
Applicant: Intrinsic Innovation LLC
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing pose correction. One of the methods includes receiving a plurality of images of an object held by a robotic component, wherein each image is associated with a respective perturbation pose of the robotic component that is at an offset relative to a nominal pose; generating a plurality of training examples, wherein each training example includes one or more of the plurality of images and ...
Market Implications
Innovation Intensity
With 152 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: 491 applications
- Semiconductors: 489 applications
- Cybersecurity: 223 applications
- 5G Technology: 203 applications
- Renewable Energy: 180 applications
- Internet of Things: 160 applications
- Biotechnology: 152 applications
- Environmental Tech: 143 applications