Mountain View, CA, United States of America

Adam Stambler

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Adam Stambler. Retrieved from https://idiyas.com/inventor/adam-stambler-hwext537

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

Calculating rank
USPTO Granted Patents = 1 

% Patents Active = 100.0


Average Co-Inventor Count = 10.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Biography of Inventor Adam Stambler

Introduction: Adam Stambler is an innovative inventor based in Mountain View, California. He is known for his contributions to the field of speech recognition technology, particularly in the context of digital assistants.

Latest Patents: Adam holds a patent for "Intended query detection using E2E modeling for continued conversation." This method involves receiving audio data corresponding to a spoken utterance and performing speech recognition using a speech recognition model. The process includes encoding the audio data into a corresponding audio encoding and decoding it into a probability distribution over possible output labels. Additionally, it determines whether the spoken utterance includes a query intended for a digital assistant.

Career Highlights: Adam Stambler has made significant strides in the tech industry, particularly while working at Google Inc. His work focuses on enhancing user interaction with digital assistants through advanced speech recognition techniques.

Collaborations: Throughout his career, Adam has collaborated with talented individuals such as Shuo-Yiin Chang and Guru Prakash Arumugam. These collaborations have contributed to the development of innovative solutions in the field of speech recognition.

Conclusion: Adam Stambler's work exemplifies the spirit of innovation in technology. His contributions to speech recognition continue to shape the way users interact with digital assistants, making technology more accessible and efficient.

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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