Seattle, WA, United States of America

Daniel Ramage

This inventor holds 33 USPTO granted patents and 8 published patent applications and 8 EPO patents, primarily in Machine Learning Optimization. Top assignee: Google Inc.. Active years: 2016-2026.

USPTO Granted Patents = 33 

% Patents Active = 100.0

 

Average Co-Inventor Count = 3.9

ph-index = 6

Forward Citations = 150(Granted Patents)


Location History:

  • Mountain View, CA (US) (2016 - 2022)
  • Seattle, WA (US) (2017 - 2024)

Company Filing History:


Years Active: 2016-2026

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Areas of Expertise:
Distributed Optimization
On-Device Machine Learning
User Content Suggestions
Differential Privacy
Image Capture Control
Localized Learning
Messaging Applications
Low Entropy Browsing
Speech Control
Computer Vision
Model Evaluation
User Experience
33 patents (USPTO):Explore Patents

Title: An Overview of Daniel Ramage's Innovations in Mobile Technology

Introduction

Daniel Ramage, a distinguished inventor based in Seattle, WA, has made significant contributions to the field of mobile technology, boasting an impressive portfolio of 30 patents. His recent patents focus on enhancing user interaction with mobile devices while prioritizing privacy and intelligent data utilization.

Latest Patents

Ramage's latest innovations include two notable patents. The first, "Systems and methods for private local sponsored content," presents novel approaches to providing private local sponsored content selection and improving intelligence models through the distribution among mobile devices. This patent enables enhanced data gathering capabilities, utilizing mobile device sensors and stored data to develop predictive models while safeguarding user privacy. By employing locally stored profiles embedded with machine intelligence models, Ramage's system improves relevance determination and the selection of sponsored content items, all while ensuring privacy through distributed optimization techniques.

The second patent, "Action suggestions for user-selected content," introduces systems and methods that suggest actions based on text selected on a mobile device. This process involves transforming user selections into queries, which are then analyzed by a trained action suggestion model. The outcome is the display of several predicted actions corresponding to mobile applications, streamlining user interaction with content and facilitating a more intuitive experience.

Career Highlights

Daniel Ramage’s extensive career is marked by his role at Google Inc., where he has honed his expertise in mobile technology and user interaction. His inventions reflect a dedication to pushing the boundaries of what is possible in the digital landscape, integrating privacy considerations into innovative technological solutions.

Collaborations

Throughout his career, Ramage has collaborated with notable colleagues such as Blaise Hilary Aguera-Arcas and Hugh Brendan McMahan. Together, they have contributed to advancements in mobile technology, emphasizing the importance of both user experience and data protection.

Conclusion

Daniel Ramage's inventive spirit and commitment to privacy-centric technology have cemented his status as a leading inventor in the mobile space. Through his 30 patents, he continues to impact the industry significantly, paving the way for future innovations that balance user convenience with the necessity of protecting personal data.

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