Littleton, MA, United States of America

Vyacheslav Nykyforov

USPTO Granted Patents = 12 

 

Average Co-Inventor Count = 1.2

ph-index = 3

Forward Citations = 32(Granted Patents)


Location History:

  • Waltham, MA (US) (2012 - 2015)
  • Littleton, MA (US) (2013 - 2024)

Company Filing History:


Years Active: 2012-2025

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12 patents (USPTO):Explore Patents

Title: Vyacheslav Nykyforov: Innovator in Machine Learning Technologies

Introduction

Vyacheslav Nykyforov is a notable inventor based in Littleton, MA (US), recognized for his contributions to machine learning technologies. With a total of 12 patents to his name, he has made significant strides in the field of text legibility assessment in electronic documents.

Latest Patents

His latest patents include innovative systems and methods for using machine learning to assess text legibility in electronic documents. One of his inventions involves training a machine learning model with training data that represents text legibility levels. The electronic device can analyze an electronic document and output a representation of the text legibility level of the textual content. This output can be displayed for user review, allowing for modifications to the document as needed. Another patent focuses on generating a text mask comprising glyphs and analyzing it to produce bounding boxes that indicate the legibility degrees of the respective glyphs. This system also facilitates user assessment and modifications to the electronic document.

Career Highlights

Throughout his career, Vyacheslav has worked with prominent companies such as Vistaprint Schweiz GmbH and Cimpress Schweiz GmbH. His experience in these organizations has contributed to his expertise in developing advanced technologies.

Collaborations

Vyacheslav has collaborated with notable individuals, including Kenneth A Walker and Kenneth A Walker, Jr. These partnerships have likely enriched his work and led to further innovations in his field.

Conclusion

Vyacheslav Nykyforov stands out as an influential inventor in the realm of machine learning, particularly in enhancing text legibility in electronic documents. His innovative patents and career achievements reflect his commitment to advancing technology.

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