Jersey City, NJ, United States of America

Tomas Mikolov

USPTO Granted Patents = 10 

Average Co-Inventor Count = 4.5

ph-index = 3

Forward Citations = 143(Granted Patents)


Company Filing History:


Years Active: 2015-2025

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10 patents (USPTO):

Title: **Tomas Mikolov: A Trailblazer in High-Dimensional Data Representation**

Introduction

Tomas Mikolov is a prominent inventor based in Jersey City, NJ, known for his significant contributions to the field of data classification and natural language processing. With an impressive portfolio of 9 patents, Mikolov has made substantial advancements that leverage high-dimensional representations of data to improve machine learning and artificial intelligence systems.

Latest Patents

Among his latest patents, two stand out for their innovative approaches. The first patent focuses on **Classifying Data Objects**, detailing methods, systems, and apparatuses, including computer programs encoded on computer storage media. This invention revolves around the process of obtaining data that links terms from a vocabulary to high-dimensional representations. Utilizing classification data that includes respective scores for multiple categories, it computes an aggregate high-dimensional representation for data objects. By identifying the closest term in the vocabulary to this representation, it effectively selects a category label for the data object.

His second notable patent, **Computing Numeric Representations of Words in a High-Dimensional Space**, outlines methods and systems for generating numeric representations of vocabulary words. This patent describes obtaining training data from sequences of words and training a classifier along with an embedding function. The result is a set of numerical representations for each word, associating them within a high-dimensional space, thus enhancing their utility in various linguistic and computational applications.

Career Highlights

Tomas Mikolov's career has been notably shaped by his role at Google Inc., where he has worked alongside renowned colleagues. His work has contributed to major advancements in machine learning techniques, particularly in how machines understand and classify vast amounts of text data.

Collaborations

Working in collaboration with experts like Jeffrey Adgate Dean and Gregory Sean Corrado, Mikolov has played a critical role in developing state-of-the-art technologies that continue to influence the field of artificial intelligence. This collaborative environment at Google Inc. has fostered innovative ideas and the practical application of his inventive concepts.

Conclusion

Tomas Mikolov’s innovative spirit and technical expertise have significantly impacted the realms of data classification and natural language processing. His substantial patent portfolio not only reflects his creativity and dedication but also showcases the profound influence his inventions have on technology today. As advancements in data representation continue to evolve, Mikolov’s work remains at the forefront, shaping the future of machine learning and artificial intelligence.

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