Ann Arbor, MI, United States of America

Amaris Yuseon Sim

USPTO Granted Patents = 2 

Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2023-2025

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2 patents (USPTO):Explore Patents

Title: Amaris Yuseon Sim: Innovator in Machine Learning

Introduction

Amaris Yuseon Sim is a prominent inventor based in Ann Arbor, MI (US). She has made significant contributions to the field of machine learning, particularly in customer utterance analysis. With a total of 2 patents, her work focuses on enhancing the understanding of customer intent through advanced technology.

Latest Patents

One of her latest patents is a machine learning system for customer utterance intent prediction. This innovative method involves operating a customer utterance analysis system that begins with obtaining a subset of utterances from a larger set. The process includes encoding these utterances into multi-dimensional vectors using a sentence encoder. Following this, reduced-dimensionality vectors are generated by simplifying the multi-dimensional vectors. Each of these vectors corresponds to an utterance from the subset. The method further involves performing clustering on the reduced-dimensionality vectors, which allows for the arrangement of utterances into distinct clusters. Labels for at least two of these clusters are then obtained, leading to the generation of training data. Finally, a neural network model is trained to predict the intent of an utterance based on this training data.

Career Highlights

Amaris has worked with notable companies such as Charles Schwab & Company, Inc. and TD Ameritrade IP Company, Inc. Her experience in these organizations has contributed to her expertise in machine learning and customer analysis.

Collaborations

Some of her coworkers include Abhilash Krishnankutty Nair and Dayanand Narregudem. Their collaboration has likely fostered a creative environment that enhances innovation.

Conclusion

Amaris Yuseon Sim is a talented inventor whose work in machine learning is paving the way for advancements in customer interaction technologies. Her contributions are significant in the realm of understanding customer intent through innovative methods.

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