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For the Inventor, By the Inventor

San Jose, CA, United States of America

Yongjune Kim

This inventor holds 14 USPTO granted patents and 2 published patent applications, primarily in Machine Learning Memory. Top assignees: Western Digital Technologies, Inc., Carnegie Mellon University, Skhynix Inc.. Active years: 2017-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yongjune Kim. Retrieved from https://idiyas.com/inventor/yongjune-kim

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 14 

% Patents Active = 92.9

Average Co-Inventor Count = 3.0

ph-index = 3

Forward Citations = 15(Granted Patents)


Location History:

  • Pittsburgh, PA (US) (2017 - 2019)
  • San Jose, CA (US) (2021 - 2023)

Company Filing History:

goldMedal12 out of 5,433 
 
Western Digital Technologies, Inc.
 patents
silverMedal1 out of 1,194 
 
Carnegie Mellon University
 patents
bronzeMedal1 out of 11,723 
 
Skhynix Inc.
 patents

Years Active: 2017-2023

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Areas of Expertise:
Ensemble Models
Power Mode Inferencing
Non-volatile Memory
Principal Component Analysis
Min-Entropy
Computational Resource Allocation
Random Access Memories
Detection Techniques
Magneto-Resistive Memory
Bit Position Control
Inter-Cell Interference
Encoding Scheme
14 patents (USPTO):Explore Patents
1. 11803780 - Training ensemble models to improve performance in the presence of unreliable base classifiers (2023-10-31),
2. 11740687 - Variable power mode inferencing (2023-08-29),
3. 11662904 - Non-volatile memory with on-chip principal component analysis for generating low dimensional outputs for machine learning (2023-05-30),
4. 11544038 - Efficient estimator of min-entropy (2023-01-03),
5. 11487580 - Computational resource allocation in ensemble machine learning systems (2022-11-01),
6. 11393517 - Apparatus and methods for writing random access memories (2022-07-19),
7. 11216184 - Non-volatile memory with on-chip principal component analysis for generating low dimensional outputs for machine learning (2022-01-04),
8. 11163483 - Robust detection techniques for updating read voltages of memory devices (2021-11-02),
9. 11031061 - Write efficiency in magneto-resistive random access memories (2021-06-08),
10. 10991414 - Granular refresh rate control for memory devices based on bit position (2021-04-27),
11. 10199106 - Reducing errors caused by inter-cell interference in a memory device (2019-02-05),
12. 9959166 - Error correction for non-volatile memory (2018-05-01),
13. 9830219 - Encoding scheme for 3D vertical flash memory (2017-11-28),
14. 9619320 - Error correction for non-volatile memory (2017-04-11),

Title: The Innovative Journey of Yongjune Kim

Introduction: Yongjune Kim is a visionary inventor based in San Jose, CA, known for his groundbreaking contributions to the field of technology and innovation.

Latest Patents: Kim holds several patents in the areas of artificial intelligence, machine learning, and robotics, showcasing his commitment to pushing the boundaries of technological advancement.

Career Highlights: With a background in computer science and engineering, Kim has worked with leading tech companies in Silicon Valley, where he has spearheaded projects that have revolutionized the industry.

Collaborations: Throughout his career, Kim has collaborated with top researchers, engineers, and developers to bring cutting-edge ideas to life, fostering a culture of innovation and creativity.

Conclusion: Yongjune Kim's relentless pursuit of innovation and his passion for creating technology that shapes the future make him a true pioneer in the world of inventions.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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