San Jose, CA, United States of America

Jung Ko

USPTO Granted Patents = 44 

Average Co-Inventor Count = 3.2

ph-index = 9

Forward Citations = 238(Granted Patents)


Location History:

  • Santa Clara, CA (US) (2014 - 2018)
  • San Jose, CA (US) (2020 - 2024)

Company Filing History:


Years Active: 2014-2025

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44 patents (USPTO):

Title: **Jung Ko: Innovator in Neural Network Technologies**

Introduction

Jung Ko, based in San Jose, CA, is a prolific inventor with an impressive portfolio of 41 patents. His groundbreaking work primarily focuses on advancements in neural network technologies, which have significant implications in various fields, including artificial intelligence and machine learning.

Latest Patents

Two of his latest patents highlight his innovative contributions to the field of neural networks. The first, titled "Computation of Neural Network Node with Large Input Values," describes a method for executing a neural network that enhances the efficiency of processing large input values. This method involves loading weight values and input values into specific buffers and computing dot products that optimize the performance of neural network nodes.

The second patent, "Allocating Blocks of Unified Memory for Integrated Circuit Executing Neural Network," details a technique that ensures effective usage of unified memory in integrated circuits. It addresses the allocation of memory resources among different circuits, improving the overall functionality of neural network systems during execution.

Career Highlights

Jung Ko has contributed significantly to the field of technology through his work at notable companies like Perceive Corporation and Adeia Semiconductor Bonding Technologies Inc. His experiences at these organizations have provided him with a robust platform to develop and refine his innovative ideas.

Collaborations

Throughout his career, Ko has worked alongside esteemed colleagues, including Steven L. Teig and Kenneth Duong. These collaborations not only enhance the innovation environment but also foster the exchange of ideas and methodologies that propel advancements in neural network technology.

Conclusion

Jung Ko exemplifies the spirit of innovation in the technology sector, particularly in neural networks. His extensive patent portfolio and collaborative efforts underline his commitment to pushing the boundaries of what's possible in computing and artificial intelligence. As the landscape of technology continues to evolve, Jung Ko remains a key player in driving forward-thinking solutions that shape the future.

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