Ramat Gan, Israel

Volodymyr Polosukhin

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Google Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Volodymyr Polosukhin. Retrieved from https://idiyas.com/inventor/volodymyr-polosukhin

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Volodymyr Polosukhin: Innovator in Spoken Language Understanding

Introduction

Volodymyr Polosukhin is a notable inventor based in Ramat Gan, Israel. He has made significant contributions to the field of spoken language understanding through his innovative patent. His work focuses on enhancing the capabilities of large language models in processing spoken utterances.

Latest Patents

Polosukhin holds a patent for a method that enables large language model-based spoken language understanding (SLU) systems to leverage both audio data and textual data. This patent outlines a process where audio data capturing a spoken utterance is received and processed using an automatic speech recognition (ASR) model. The resulting textual data is then used to generate a semantic representation that fulfills the spoken utterance.

Career Highlights

Volodymyr Polosukhin is currently employed at Google Inc., where he continues to work on advancements in artificial intelligence and natural language processing. His expertise in these areas has positioned him as a key player in the development of innovative technologies.

Collaborations

He collaborates with Shlomo Fruchter, contributing to the advancement of spoken language understanding technologies.

Conclusion

Volodymyr Polosukhin's work in spoken language understanding exemplifies the intersection of technology and communication, showcasing the potential of large language models in enhancing user 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]
Loading…