Ramat Gan, Israel

Barak Battach

This inventor holds 1 USPTO granted patent. Top assignee: Intel Corporation. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Barak Battach. Retrieved from https://idiyas.com/inventor/barak-battach

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


% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Barak Battach: Innovator in Natural Language Processing

Introduction

Barak Battach is a notable inventor based in Ramat Gan, Israel. He has made significant contributions to the field of natural language processing (NLP). His innovative work focuses on enhancing the efficiency of NLP models.

Latest Patents

Barak holds a patent for an "Early exit for natural language processing models." This patent describes a natural language processing model designed to operate on two lexicons, where one lexicon is a subset of the other. The model is capable of generating output based on the subset lexicon and can exit processing to potentially save computation cycles. He has 1 patent to his name.

Career Highlights

Barak Battach is currently employed at Intel Corporation, where he applies his expertise in NLP. His work at Intel has positioned him as a key player in advancing technology in this area.

Collaborations

Barak has collaborated with notable colleagues, including Haim Barad and Amit Bleiweiss. Their combined efforts contribute to the innovative projects at Intel Corporation.

Conclusion

Barak Battach is a prominent figure in the field of natural language processing, with a focus on improving model efficiency. His contributions through patents and collaborations highlight his commitment to innovation in technology.

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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