San Jose, CA, United States of America

David A Pisoni

This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Intuit, Inc.. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: David A Pisoni. Retrieved from https://idiyas.com/inventor/david-a-pisoni

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 = 3.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024

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

Title: David A Pisoni: Innovator in Virtual Environments

Introduction

David A Pisoni is a notable inventor based in San Jose, CA (US). He has made significant contributions to the field of virtual environments through his innovative patent. His work focuses on utilizing machine learning models to enhance user interaction with virtual worlds.

Latest Patents

David A Pisoni holds a patent for "Rendering virtual environments based on intents identified in natural language inputs using machine learning models." This patent outlines techniques for rendering visual artifacts in virtual worlds by identifying intents from natural language inputs. The method involves generating virtual objects based on these intents and rendering them in a virtual environment displayed on electronic devices.

Career Highlights

David is currently employed at Intuit, Inc., where he applies his expertise in machine learning and virtual environments. His work has positioned him as a key player in the development of advanced technologies that bridge the gap between natural language processing and virtual reality.

Collaborations

David has collaborated with notable colleagues, including Nigel T Menendez and Richard J Becker. Their combined efforts contribute to the innovative projects at Intuit, Inc.

Conclusion

David A Pisoni's work in rendering virtual environments showcases the potential of machine learning in enhancing user experiences. His contributions are paving the way for future advancements in the field.

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…