IDiyas

For the Inventor, By the Inventor

San Jose, CA, United States of America

Mark Chan

USPTO Granted Patents = 21

Average Co-Inventor Count = 2.6

ph-index = 8

Forward Citations = 138(Granted Patents)


Company Filing History:

goldMedal17 out of 4,283 
 
Altera Corporation
 patents
silverMedal4 out of 11 
 
H2o.ai Inc.
 patents

Years Active: 2001-2024

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21 patents (USPTO):
1. 12118447 - Model interpretation (2024-10-15),
2. 11922283 - Model interpretation (2024-03-05),
3. 11893467 - Model interpretation (2024-02-06),
4. 11386342 - Model interpretation (2022-07-12),
5. 9667314 - Programmable repeater circuits and methods (2017-05-30),
6. 9520182 - Memory elements with relay devices (2016-12-13),
7. 9401200 - Memory cells with p-type diffusion read-only port (2016-07-26),
8. 9245592 - Memory elements with elevated control signal levels for integrated circuits (2016-01-26),
9. 8921170 - Integrated circuits with asymmetric pass transistors (2014-12-30),
10. 8611137 - Memory elements with relay devices (2013-12-17),
11. 8411491 - Memory array with distributed clear transistors and variable memory element power supply (2013-04-02),
12. 8138797 - Integrated circuits with asymmetric pass transistors (2012-03-20),
13. 7995375 - Volatile memory elements with elevated power supply levels for programmable logic device integrated circuits (2011-08-09),
14. 7911826 - Integrated circuits with clearable memory elements (2011-03-22),
15. 7768818 - Integrated circuit memory elements (2010-08-03),

Title: **Mark Chan: A Pioneer in Machine Learning Inventions**

Introduction

Mark Chan, based in San Jose, CA, is an influential inventor known for his extensive contributions to the field of machine learning. With a remarkable portfolio of 21 patents, Mark has dedicated his career to enhancing the capabilities of technology through innovative solutions.

Latest Patents

Among his most recent patents, Mark has developed cutting-edge concepts in model interpretation. His innovative patent details a process where an indication of a selection of an entry associated with a machine learning model is received. Subsequently, one or more interpretation views linked with various machine learning models are dynamically updated based on the selected entry. This advancement is set to significantly improve how machine learning models interpret data, making them more accessible and interpretable for users.

Career Highlights

Mark's impressive career includes notable roles at Altera Corporation and H2O.ai Inc., where he honed his expertise in machine learning and data analytics. His work at these companies has laid a strong foundation for the transformative inventions that followed.

Collaborations

Throughout his career, Mark has collaborated with talented individuals such as Lin-Shih Liu and Irfan Rahim. These collaborations have fostered a creative environment that has led to significant advancements in the field of artificial intelligence and machine learning.

Conclusion

Mark Chan's inventive spirit and commitment to innovation have positioned him as a key player in the technology sector. His contributions are not only shaping the future of machine learning but also inspiring the next generation of inventors. With a solid track record and an eye towards future advancements, Mark continues to push the boundaries of what is possible in technology.

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