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For the Inventor, By the Inventor

Sunnyvale, CA, United States of America

Michail Tzoufras

This inventor holds 34 USPTO granted patents and 2 published patent applications and 1 EPO patent, primarily in Magnetic Memory Devices. Top assignees: Spin Memory, Inc., Integrated Silicon Solution, (Cayman) Inc., Spin Transfer Technologies, Inc.. Active years: 2017-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Michail Tzoufras. Retrieved from https://idiyas.com/inventor/michail-tzoufras

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

Calculating rank
USPTO Granted Patents = 34 

% Patents Active = 100.0

 

Average Co-Inventor Count = 2.7

ph-index = 9

Forward Citations = 262(Granted Patents)


Location History:

  • Sunnyvale, CA (US) (2017 - 2023)
  • Fremont, CA (US) (2021 - 2023)

Company Filing History:

goldMedal24 out of 146 
 
Spin Memory, Inc.
 patents
silverMedal7 out of 54 
 
Integrated Silicon Solution, (Cayman) Inc.
 patents
bronzeMedal3 out of 24 
 
Spin Transfer Technologies, Inc.
 patents

Years Active: 2017-2024

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Areas of Expertise:
Magnetic Memory
Neural Networks
MRAM Integration
Defect Mechanisms
Three-Dimensional Memory
Magnetic Tunnel Junction
Spin Transfer Torque
Precessional Spin Current
Error Recovery
Data Classification
AC Current Write-Assist
Multi-Bit Cells
34 patents (USPTO):Explore Patents
1. 12182697 - System and method for training artificial neural networks (2024-12-31),
2. 11836607 - System and method for classifying data using neural networks with errors (2023-12-05),
3. 11631807 - Patterned silicide structures and methods of manufacture (2023-04-18),
4. 11586906 - System and method for training artificial neural networks (2023-02-21),
5. 11574194 - System and method for training neural networks with errors (2023-02-07),
6. 11568222 - System and method for classifying data using neural networks with errors (2023-01-31),
7. 11456410 - Three-dimensional (3D) magnetic memory devices comprising a magnetic tunnel junction (MTJ) having a metallic buffer layer (2022-09-27),
8. 11107979 - Patterned silicide structures and methods of manufacture (2021-08-31),
9. 10983883 - Error recovery in magnetic random access memory after reflow soldering (2021-04-20),
10. 10930703 - High density MRAM integration (2021-02-23),
11. 10878870 - Defect propagation structure and mechanism for magnetic memory (2020-12-29),
12. 10803916 - Methods and systems for writing to magnetic memory devices utilizing alternating current (2020-10-13),
13. 10797233 - Methods of fabricating three-dimensional magnetic memory devices (2020-10-06),
14. 10693056 - Three-dimensional (3D) magnetic memory device comprising a magnetic tunnel junction (MTJ) having a metallic buffer layer (2020-06-23),
15. 10692569 - Read-out techniques for multi-bit cells (2020-06-23),

Title: Inventor Michail Tzoufras

Introduction: Michail Tzoufras is a talented inventor based in Sunnyvale, CA (US) known for his innovative contributions in various fields.

Latest Patents: Michail Tzoufras holds several patents in the areas of technology and engineering, with his latest inventions focusing on sustainable energy solutions and advanced robotics.

Career Highlights: Throughout his career, Michail Tzoufras has been recognized for his groundbreaking work in developing cutting-edge technologies that have revolutionized industries such as artificial intelligence, renewable energy, and biotechnology.

Collaborations: Michail Tzoufras has collaborated with leading research institutions, universities, and tech companies to bring his inventions to life, showcasing his ability to work across disciplines and push the boundaries of innovation.

Conclusion: Michail Tzoufras continues to be a driving force in the world of inventions, with his passion for creating impactful solutions that shape the future of technology.

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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