Seoul, South Korea

Joo Hyuk Kim


 

Average Co-Inventor Count = 3.4

ph-index = 1


Location History:

  • Uijeongbu-si, KR (2019)
  • Seoul, KR (2022)

Company Filing History:


Years Active: 2019-2025

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5 patents (USPTO):Explore Patents

Title: Joo Hyuk Kim: Innovator in Artificial Neural Networks

Introduction

Joo Hyuk Kim is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of artificial intelligence, particularly in the development of artificial neural networks. With a total of 5 patents to his name, Kim's work focuses on enhancing the efficiency and effectiveness of neural network computations.

Latest Patents

Among his latest patents are several groundbreaking inventions. One notable patent is the "Artificial Neural Network Computation Acceleration Apparatus for Distributed Processing." This apparatus includes an external main memory for storing input data and synapse weights for input neurons, an internal buffer memory for storing synapse weights and input data, a DMA module for data transmission, and a general-use communication media block for interaction with other acceleration apparatuses. Another significant patent is the "Method of Verifying Fault of Inspection Unit, Inspection Apparatus and Inspection System." This method involves providing a verification reference body, placing the inspection unit on it, obtaining image data, and verifying faults by analyzing movement and height errors.

Career Highlights

Joo Hyuk Kim has worked with notable companies such as Koh Young Technology Inc. and Deeper-i Co., Inc. His experience in these organizations has allowed him to refine his skills and contribute to innovative projects in the field of technology.

Collaborations

Throughout his career, Kim has collaborated with talented individuals, including Nam Kyu Park and Kwan Seong Kim. These collaborations have fostered a creative environment that has led to the development of advanced technologies.

Conclusion

Joo Hyuk Kim is a distinguished inventor whose work in artificial neural networks has paved the way for advancements in computational efficiency. His patents reflect a commitment to innovation and a deep understanding of technology.

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