Ann Arbor, MI, United States of America

Connor Witt


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: The Innovative Mind of Connor Witt

Introduction

Connor Witt is an accomplished inventor based in Ann Arbor, MI (US). He has made significant contributions to the field of machine learning and dialogue systems. His innovative approach has led to the development of a unique patent that enhances the functionality of automated dialogue systems.

Latest Patents

Connor Witt holds a patent titled "Systems and methods for intelligently configuring and deploying a conversational memory-informed control structure of a machine learning-based dialogue system." This patent focuses on systems and methods for configuring a dialogue guidance graph that governs a set of operations of an automated dialogue system. It includes encoding a recall operation to a target graphical node of the graph, which allows the system to access temporary data storage that logs data from an active dialogue session. The patent also assesses a terminality attribute associated with the target graphical node, determining whether it is enabled or disabled. If disabled, the system can revert the active dialogue session to the target graphical node, enabling further dialogue-based operations.

Career Highlights

Connor is currently employed at Clinc, Inc., where he applies his expertise in machine learning and dialogue systems. His work has been instrumental in advancing the capabilities of automated dialogue systems, making them more intuitive and user-friendly. With a focus on innovation, Connor continues to push the boundaries of what is possible in this field.

Collaborations

Connor collaborates with talented individuals such as Matthew Mueller and Jamal El-Mokadem. Together, they work on projects that aim to enhance the functionality and efficiency of dialogue systems.

Conclusion

Connor Witt is a notable inventor whose work in machine learning and dialogue systems has led to significant advancements in the field. His patent reflects his innovative thinking and dedication to improving automated dialogue interactions.

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