Jerusalem, Israel

Eldad Persky

This inventor holds 2 USPTO granted patents. Top assignee: Intelligate, Ltd.. Active years: 2007-2010.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Eldad Persky. Retrieved from https://idiyas.com/inventor/eldad-persky

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 3.0

ph-index = 2

Forward Citations = 721(Granted Patents)


Company Filing History:


Years Active: 2007-2010

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2 patents (USPTO):Explore Patents

Title: Eldad Persky: Innovator in Dynamic Natural Language Understanding

Introduction

Eldad Persky is a notable inventor based in Jerusalem, Israel. He has made significant contributions to the field of natural language processing, particularly in dynamic natural language understanding. With a total of 2 patents, his work has the potential to enhance how machines interpret human language.

Latest Patents

Eldad's latest patents focus on methods and systems for dynamic natural language understanding. A hierarchical structure of semantic categories is exploited to assist in the natural language understanding process. This innovative approach allows for the interpretation of requests within the natural language, making interactions with technology more intuitive and effective.

Career Highlights

Eldad Persky is currently associated with Intelligate, Ltd., where he continues to develop cutting-edge solutions in the realm of natural language understanding. His expertise and innovative mindset have positioned him as a key player in this rapidly evolving field.

Collaborations

Eldad has collaborated with talented individuals such as Ofer Lavi and Gadiel Auerbach. These partnerships have fostered a creative environment that encourages the development of groundbreaking technologies.

Conclusion

Eldad Persky's contributions to dynamic natural language understanding exemplify the impact of innovative thinking in technology. His work not only advances the field but also paves the way for more effective human-computer interactions.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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