Pasadena, CA, United States of America

Rosie Jones


 

Average Co-Inventor Count = 2.8

ph-index = 10

Forward Citations = 201(Granted Patents)


Location History:

  • Pasadena, CA (US) (2009 - 2013)
  • Cambridge, MA (US) (2012 - 2019)

Company Filing History:


Years Active: 2009-2019

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15 patents (USPTO):Explore Patents

Title: Rosie Jones - Innovator in Speech Recognition and Machine Learning

Introduction

Rosie Jones is a prominent inventor based in Pasadena, CA (US), known for her significant contributions to the fields of speech recognition and machine learning. With a total of 15 patents to her name, she has developed innovative solutions that enhance user interaction with technology.

Latest Patents

Among her latest patents is the "Interactive reformulation of speech queries," which provides methods and systems for offering alternative query suggestions. This invention allows a spoken natural language expression to be converted into a textual query through a speech recognition component. The system identifies phonetically confusable segments of the textual query and suggests alternative queries that are both sensical and useful. Another notable patent is "Parallel training of a support vector machine (SVM) with distributed block minimization." This method efficiently solves large-scale linear SVM problems, optimizing computation, data storage, and communication requirements across large datasets without the need for a master node.

Career Highlights

Rosie has worked with notable companies such as Yahoo! Inc. and Akamai Technologies, Inc., where she applied her expertise in developing advanced technologies. Her work has significantly impacted the way users interact with digital systems, making them more intuitive and responsive.

Collaborations

Throughout her career, Rosie has collaborated with talented individuals, including Benjamin Rey and Tina Weyand, contributing to various innovative projects that push the boundaries of technology.

Conclusion

Rosie Jones stands out as a leading inventor in her field, with a remarkable portfolio of patents that reflect her dedication to innovation. Her work continues to influence advancements in speech recognition and machine learning, paving the way for future developments.

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