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For the Inventor, By the Inventor

Pittsburgh, PA, United States of America

David W Sculley, Ii

This inventor holds 11 USPTO granted patents and 5 published patent applications. Top assignee: Google Inc.. Active years: 2013-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: David W Sculley, Ii. Retrieved from https://idiyas.com/inventor/david-w-sculley-ii

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

USPTO Granted Patents = 11 

% Patents Active = 81.8

Average Co-Inventor Count = 3.8

ph-index = 6

Forward Citations = 223(Granted Patents)


Location History:

  • Pittsburgh, PA (US) (2013 - 2024)
  • Cambridge, MA (US) (2024)

Company Filing History:

goldMedal11 out of 33,959 
 
Google Inc.
 patents

Years Active: 2013-2026

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11 patents (USPTO):Explore Patents
1. 12675694 - Using embedding functions with a deep network (2026-07-07),
2. 12032464 - Optimization of parameters of a system, product, or process (2024-07-09),
3. 12026612 - Optimization of parameter values for machine-learned models (2024-07-02),
4. 11954597 - Using embedding functions with a deep network (2024-04-09),
5. 11481631 - Using embedding functions with a deep network (2022-10-25),
6. 10679124 - Using embedding functions with a deep network (2020-06-09),
7. 9514404 - Using embedding functions with a deep network (2016-12-06),
8. 9141916 - Using embedding functions with a deep network (2015-09-22),
9. 8886587 - Model development and evaluation (2014-11-11),
10. 8788442 - Compliance model training to classify landing page content that violates content item distribution guidelines (2014-07-22),
11. 8572011 - Outcome estimation models trained using regression and ranking techniques (2013-10-29),

Title: The Innovative Contributions of David W Sculley, II

Introduction

David W Sculley, II, a distinguished inventor based in Pittsburgh, PA, has made significant strides in the realm of technology through his innovative ideas and patented inventions. With an impressive portfolio of 10 patents, he continues to shape advancements in computer-implemented methods and machine learning optimization.

Latest Patents

Sculley's latest patents focus on enhancing the efficiency of systems, products, or processes through optimization techniques. One notable invention is a computer-implemented method that establishes an optimization procedure, harnessing prior evaluations of system performance to inform adjustments in parameter values. This method allows for the generation of suggested variants based on previous data, thereby improving overall performance.

Another of Sculley’s significant contributions revolves around optimizing parameter values for machine learning models. This method incorporates evaluations of various machine learning model configurations, utilizing optimization algorithms to propose enhancements based on prior performance. These innovations are critical in advancing the efficacy of artificial intelligence applications.

Career Highlights

David W Sculley, II, currently serves as an inventor at Google Inc., a leading technology company known for its commitment to innovation. Throughout his career, he has consistently contributed to projects that push the boundaries of technology and improve user experiences through advanced methodologies.

Collaborations

Sculley's work is further enriched by his collaborations with esteemed colleagues Gregory Sean Corrado and Kai Chen. Together, this team has explored cutting-edge developments in machine learning and optimization, demonstrating the power of collaborative innovation in technology.

Conclusion

David W Sculley, II's contributions to the field of technology through his patents and collaborative efforts are remarkable. His work not only exemplifies the spirit of innovation but also significantly impacts the development of more efficient systems and machine learning models. As he continues to drive advancements at Google Inc., it is evident that his influence will shape the technological landscape for years to come.

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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