Fremont, CA, United States of America

Sherry Qianhong Moore

USPTO Granted Patents = 6 


Average Co-Inventor Count = 3.0

ph-index = 3

Forward Citations = 22(Granted Patents)


Location History:

  • Fremont, CA (US) (2011 - 2015)
  • Los Altos, CA (US) (2022 - 2024)

Company Filing History:


Years Active: 2011-2024

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6 patents (USPTO):

Title: Sherry Qianhong Moore: Innovator in Neural Network Augmentation

Introduction

Sherry Qianhong Moore is a prominent inventor based in Fremont, California. She has made significant contributions to the field of neural networks, holding a total of six patents. Her work focuses on augmenting neural networks with additional operations, showcasing her expertise in computational graph systems.

Latest Patents

One of her latest patents involves methods, systems, and apparatus for augmenting a neural network with additional operations. This patent details a process where a computational graph system manages the execution of computational graphs representing neural network operations. The system maintains data specifying a plurality of pre-trained neural networks, each trained on specific data to determine the values of their respective parameters. The method includes obtaining data that specifies a user computational graph, identifying an insertion point after a first node, and inserting a remote call node into the user computational graph.

Career Highlights

Sherry has worked with notable companies such as Google Inc. and Oracle America, Inc. Her experience in these leading technology firms has allowed her to refine her skills and contribute to groundbreaking innovations in the field of artificial intelligence.

Collaborations

Some of her coworkers include Darrin Paul Johnson and Eric Christopher Saxe, who have collaborated with her on various projects related to neural networks and computational systems.

Conclusion

Sherry Qianhong Moore's contributions to neural network technology and her impressive patent portfolio highlight her as a leading innovator in the field. Her work continues to influence advancements in artificial intelligence and computational graph systems.

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