Seattle, WA, United States of America

Michael Taron

USPTO Granted Patents = 11 

Average Co-Inventor Count = 4.8

ph-index = 2

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2015-2024

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11 patents (USPTO):Explore Patents

Title: Michael Taron: Innovator in Intelligent Document Processing

Introduction

Michael Taron is a prominent inventor based in Seattle, WA, known for his contributions to the fields of machine learning and artificial intelligence. With a total of 11 patents to his name, Taron has made significant strides in enhancing document processing technologies.

Latest Patents

Among his latest patents is the innovative system for cross-document intelligent authoring and processing, which utilizes machine learning and artificial intelligence to identify semantically important chunks in documents. This technology automatically labels these chunks with appropriate datatypes and semantic roles, assisting authors and supporting downstream processes. The system leverages context, including formatting, structure, and content, to determine chunk locations and semantic roles. Another notable patent focuses on concealing sensitive information in text. This invention presents methods for identifying sensitive information within text and determining a level of concealment based on contextual privacy settings. The object containing the text is then presented with the sensitive information revealed according to the established level of concealment.

Career Highlights

Michael Taron has worked with notable companies such as Docugami, Inc. and Microsoft Technology Licensing, LLC. His work in these organizations has contributed to the advancement of intelligent document processing technologies.

Collaborations

Throughout his career, Taron has collaborated with talented individuals, including Andrew Paul Begun and Steven DeRose. These collaborations have further enriched his innovative contributions to the field.

Conclusion

Michael Taron's work in intelligent document processing and machine learning showcases his commitment to innovation. His patents reflect a deep understanding of technology and its application in real-world scenarios.

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