Los Angeles, CA, United States of America

Nichole Marie Hurst

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Nichole Marie Hurst. Retrieved from https://idiyas.com/inventor/nichole-marie-hurst

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 = 5.0

ph-index = 1


Company Filing History:

goldMedal1 out of 834,513 
Other
 patents

Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Innovations by Nichole Marie Hurst

Introduction

Nichole Marie Hurst is an accomplished inventor based in Los Angeles, CA. She has made significant contributions to the field of human-machine interaction. Her innovative work focuses on enhancing the way humans and machines communicate and interact.

Latest Patents

Nichole holds a patent for "Systems and methods for adaptive human-machine interaction and automatic behavioral assessment." This patent outlines systems and methods for human-machine interaction using a conversation system. Her work in this area is pioneering and addresses the growing need for effective communication between humans and machines.

Career Highlights

Throughout her career, Nichole has demonstrated a commitment to advancing technology in human-machine interaction. Her innovative approach has garnered attention in the tech community. She continues to explore new avenues for improving user experience through adaptive systems.

Collaborations

Nichole has collaborated with notable professionals in her field, including Stefan Scherer and Aubrey Schick. These partnerships have allowed her to expand her research and contribute to groundbreaking advancements in technology.

Conclusion

Nichole Marie Hurst is a trailblazer in the realm of human-machine interaction. Her patent and collaborative efforts reflect her dedication to innovation and technology. Her work is poised to make a lasting impact on how we interact with machines in the future.

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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