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For the Inventor, By the Inventor

San Francisco, CA, United States of America

Vincent Olivier Vanhoucke

This inventor holds 61 USPTO granted patents and 4 published patent applications and 2 EPO patents, primarily in Deep Neural Networks (CPC class G06K). Top assignees: Google Inc., Like.com. Active years: 2009-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Vincent Olivier Vanhoucke. Retrieved from https://idiyas.com/inventor/vincent-olivier-vanhoucke

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 61 

% Patents Active = 85.2

 

Average Co-Inventor Count = 3.8

ph-index = 24

Forward Citations = 2,515(Granted Patents)

Forward Citations (Not Self Cited) = 2,309(Dec 10, 2025)


Inventors with similar research interests:


Location History:

  • Menlo Park, CA (US) (2009 - 2015)
  • San Francisco, CA (US) (2013 - 2024)

Company Filing History:

goldMedal52 out of 33,959 
 
Google Inc.
 patents
silverMedal9 out of 11 
 
Like.com
 patents

Years Active: 2009-2024

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Areas of Expertise:
Image Classification
Neural Networks
Asynchronous Optimization
Deep Learning
Face Recognition
Matrix Multiplication
Image Processing
Similarity Searches
Contextual Content
Robotic Control
Multilingual Networks
E-commerce Analysis
61 patents (USPTO):Explore Patents
1. 12125257 - Image classification neural networks (2024-10-22),
2. 12073823 - Asynchronous optimization for sequence training of neural networks (2024-08-27),
3. 11854534 - Asynchronous optimization for sequence training of neural networks (2023-12-26),
4. 11809955 - Processing images using deep neural networks (2023-11-07),
5. 11557277 - Asynchronous optimization for sequence training of neural networks (2023-01-17),
6. 11550871 - Processing structured documents using convolutional neural networks (2023-01-10),
7. 11462035 - Processing images using deep neural networks (2022-10-04),
8. 11341364 - Using simulation and domain adaptation for robotic control (2022-05-24),
9. 11227582 - Asynchronous optimization for sequence training of neural networks (2022-01-18),
10. 11062181 - Image classification neural networks (2021-07-13),
11. 10977529 - Processing images using deep neural networks (2021-04-13),
12. 10916238 - Asynchronous optimization for sequence training of neural networks (2021-02-09),
13. 10672384 - Asynchronous optimization for sequence training of neural networks (2020-06-02),
14. 10650289 - Processing images using deep neural networks (2020-05-12),
15. 10482873 - Asynchronous optimization for sequence training of neural networks (2019-11-19),

Title: Vincent Olivier Vanhoucke - Innovative Inventor from San Francisco

Introduction: Vincent Olivier Vanhoucke is a renowned inventor based in San Francisco, CA, known for his groundbreaking contributions to various fields of technology and innovation.

Latest Patents: Vincent Olivier Vanhoucke holds several patents in the areas of artificial intelligence, machine learning, and robotics, showcasing his expertise in cutting-edge technologies.

Career Highlights: With a background in computer science and engineering, Vincent Olivier Vanhoucke has had a successful career working with top tech companies, leading research institutions, and universities, where he has spearheaded numerous innovative projects.

Collaborations: Throughout his career, Vincent Olivier Vanhoucke has collaborated with fellow inventors, patent attorneys, and industry experts to bring his ideas to life, resulting in impactful inventions that have shaped the technological landscape.

Conclusion: Vincent Olivier Vanhoucke's passion for innovation and his relentless pursuit of excellence continue to inspire the next generation of inventors and pave the way for future advancements in technology.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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