Hod Hasharon, Israel

Elik Sror

USPTO Granted Patents = 13 


Average Co-Inventor Count = 5.1

ph-index = 1

Forward Citations = 4(Granted Patents)


Location History:

  • Tel Aviv, IL (2022 - 2023)
  • Hod Hasharon, IL (2021 - 2024)

Company Filing History:


Years Active: 2021-2024

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13 patents (USPTO):Explore Patents

Title: Elik Sror: Innovator in Automated Systems and Data Classification

Introduction

Elik Sror is a prominent inventor based in Hod Hasharon, Israel. He has made significant contributions to the fields of automated systems and data classification, holding a total of 13 patents. His innovative work focuses on enhancing the efficiency of information retrieval and organization through advanced computational methods.

Latest Patents

One of Elik Sror's latest patents is an "Automated search and presentation computing system." This method involves transcribing utterances from conversations into digital tokens and embedding these tokens into an utterances tensor. The process includes obtaining a metadata tensor by encoding relevant metadata and executing a machine learning model to predict related source articles. Another notable patent is for "Classifying organizations based on transactional data associated with the organizations." This method classifies unknown organizations by processing transactional data and categorizing them using a classifier, ultimately identifying suitable software services for these organizations.

Career Highlights

Elik Sror is currently employed at Intuit, Inc., where he continues to develop innovative solutions that leverage machine learning and data analysis. His work has significantly impacted how organizations can utilize transactional data for better classification and service identification.

Collaborations

Elik has collaborated with talented individuals such as Alexander Zhicharevich and Shlomi Medalion, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Elik Sror's contributions to automated systems and data classification demonstrate his commitment to advancing technology. His patents reflect a deep understanding of machine learning and its applications in real-world scenarios.

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