Seattle, WA, United States of America

Grigoriy A Orlov

This inventor holds 1 USPTO granted patent. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2024.


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Grigoriy A. Orlov: Innovator in Machine Learning

Introduction

Grigoriy A. Orlov is a notable inventor based in Seattle, WA. He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on enhancing the efficiency of data collection for training machine learning models.

Latest Patents

Grigoriy A. Orlov holds a patent titled "Guided source collection for a machine learning model." This patent describes a method for collecting data from a network graph, which is essential for training a machine learning model on a specific query domain. The process involves receiving a domain-specific template that defines classifiers to guide the collection of relevant content. By analyzing a collection starting point based on these classifiers, the method identifies relevant instances of content, which are then compiled into a contextual protocol package. This innovative approach allows for the identification of additional relevant instances, further enhancing the data collection process.

Career Highlights

Grigoriy A. Orlov is currently associated with Microsoft Technology Licensing, LLC. His role at the company allows him to leverage his expertise in machine learning and contribute to cutting-edge technological advancements. His patent reflects his commitment to improving data collection methodologies in the field.

Collaborations

Grigoriy has collaborated with talented individuals such as Yu Shrike Zhang and Pankaj Sharma. These collaborations have likely enriched his work and contributed to the innovative solutions he has developed.

Conclusion

Grigoriy A. Orlov is a distinguished inventor whose work in machine learning has the potential to transform data collection processes. His patent showcases his innovative thinking and dedication to advancing technology.

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