Cupertino, CA, United States of America

Sung Hee Park

USPTO Granted Patents = 15 

Average Co-Inventor Count = 2.5

ph-index = 3

Forward Citations = 31(Granted Patents)


Location History:

  • San Jose, CA (US) (2022 - 2023)
  • Cupertino, CA (US) (2019 - 2024)

Company Filing History:


Years Active: 2019-2024

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15 patents (USPTO):Explore Patents

Title: Innovations of Sung Hee Park

Introduction

Sung Hee Park is a prominent inventor based in Cupertino, CA (US). She has made significant contributions to the field of neural network processing, holding a total of 15 patents. Her work focuses on enhancing the capabilities of neural engine circuits, which are crucial for various applications in artificial intelligence.

Latest Patents

Among her latest patents is the "Multi-operational modes of neural engine circuit." This invention relates to a neural engine circuit that performs convolution operations and parallel sorting operations on input data. The circuit includes multiple operation circuits and an accumulator circuit, which work together to process data efficiently in different modes. Another notable patent is the "Scalable neural network processing engine," which features a scalable architecture for instantiating neural networks. This design allows for multiple neural engine circuits to be activated or deactivated based on the tasks at hand, optimizing performance and resource usage.

Career Highlights

Sung Hee Park has established herself as a key figure in her field through her innovative work at Apple Inc. Her contributions have not only advanced the technology but have also paved the way for future developments in neural processing.

Collaborations

She has collaborated with notable coworkers, including Christopher L Mills and Seungjin Lee, further enhancing the impact of her work through teamwork and shared expertise.

Conclusion

Sung Hee Park's innovations in neural engine circuits exemplify her dedication to advancing technology in artificial intelligence. Her patents reflect her commitment to improving neural network processing, making her a significant contributor to the field.

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