Lexington, MA, United States of America

Eric Wong

USPTO Granted Patents = 3 

 

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2022-2023

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3 patents (USPTO):Explore Patents

Title: The Innovative Mind of Eric Wong

Introduction

Eric Wong is a notable inventor based in Lexington, Massachusetts. He has made significant contributions to the field of automated learning systems, holding three patents that showcase his expertise and innovative thinking. His work focuses on enhancing the robustness and efficiency of classification models through advanced methodologies.

Latest Patents

Eric Wong's latest patents include a method, apparatus, and computer program for generating robust automatic learning systems. This method involves processing training input with a first neural network and utilizing the output of this network with a second neural network. The design ensures that the input layer of the second network corresponds to the output layer of the first, creating a seamless flow of information. Additionally, he has developed a system for training classification models to be robust against multiple types of perturbations. This system strategically selects training instances and applies perturbations to maximize a loss function, thereby refining the model's parameters for improved performance.

Career Highlights

Throughout his career, Eric Wong has worked with esteemed organizations such as Robert Bosch GmbH and Carnegie Mellon University. His experiences in these institutions have allowed him to collaborate with leading experts in the field and contribute to groundbreaking research in automated learning systems.

Collaborations

Eric has had the opportunity to work alongside notable colleagues, including Jeremy Zico Kolter and Frank R. Schmidt. These collaborations have further enriched his research and development efforts, leading to innovative solutions in the realm of machine learning.

Conclusion

Eric Wong's contributions to the field of automated learning systems are significant and impactful. His innovative patents and collaborations reflect his dedication to advancing technology and improving classification models. His work continues to inspire future developments in the industry.

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