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For the Inventor, By the Inventor

Boulder Creek, CA, United States of America

Steven Lemke

LinkedIn
USPTO Granted Patents = 41 

 

Average Co-Inventor Count = 5.7

ph-index = 5

Forward Citations = 65(Granted Patents)


Company Filing History:

goldMedal41 out of 622 
 
Silicon Storage Technology, Inc.
 patents
silverMedal1 out of 1,473 
 
Agency for Science, Technology and Research
 patents
where one patent can have more than one assignee

Years Active: 2016-2025

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41 patents (USPTO):
1. 12354651 - Neural network classifier using array of three-gate non-volatile memory cells (2025-07-08),
2. 12283314 - Neural network classifier using array of three-gate non-volatile memory cells (2025-04-21),
3. 12249368 - Neural network classifier using array of three-gate non-volatile memory cells (2025-03-11),
4. 12205655 - Testing of analog neural memory cells in an artificial neural network (2025-01-21),
5. 12200926 - Input function circuit block and output neuron circuit block coupled to a vector-by-matrix multiplication array in an artificial neural network (2025-01-14),
6. 12176039 - Setting levels for a programming operation in a neural network array (2024-12-24),
7. 12131786 - Memory cell array with row direction gap between erase gate lines and dummy floating gates (2024-10-29),
8. 12124944 - Precise data tuning method and apparatus for analog neural memory in an artificial neural network (2024-10-22),
9. 12057170 - Neural network array comprising one or more coarse cells and one or more fine cells (2024-08-06),
10. 12056601 - Circuitry to compensate for data drift in analog neural memory in an artificial neural network (2024-08-06),
11. 12033692 - Neural network classifier using array of three-gate non-volatile memory cells (2024-07-09),
12. 11915747 - Precision tuning of a page or word of non-volatile memory cells in an analog neural memory system (2024-02-27),
13. 11847556 - Precise data tuning method and apparatus for analog neural memory in an artificial neural network (2023-12-19),
14. 11798619 - Precision tuning of a page or word of non-volatile memory cells in an analog neural memory system (2023-10-24),
15. 11783904 - Compensation for leakage in an array of analog neural memory cells in an artificial neural network (2023-10-10),

Title: The Innovator Spotlight: Steven Lemke, Pioneering Precision in Analog Neural Memory

Introduction:

Steven Lemke, a visionary inventor hailing from Boulder Creek, CA, has made significant strides in the field of analog neural memory systems. With an impressive portfolio of 30 patents under his belt, Lemke's work showcases his dedication to advancing the frontiers of technology and innovation.

Latest Patents:

Lemke's latest patents demonstrate his expertise in precision tuning and data manipulation within analog neural memory systems. By focusing on optimizing the performance of non-volatile memory cells, Lemke has paved the way for enhanced functionality and efficiency in artificial neural networks. His groundbreaking inventions include methods for precise data tuning and apparatus for analog neural memory, offering novel solutions for complex computing challenges.

Career Highlights:

Throughout his career, Lemke has contributed his talent to esteemed companies such as Silicon Storage Technology, Inc. and the Agency for Science, Technology and Research. His innovative spirit and technical acumen have helped shape the landscape of modern memory technology, positioning him as a leading figure in the industry.

Collaborations:

In his quest for innovation, Lemke has collaborated with notable professionals in the field, including Nhan Do and Hieu Van Tran. Together, they have leveraged their collective expertise to pioneer advancements in analog neural memory systems, pushing the boundaries of what is possible in computational technology.

Conclusion:

Steven Lemke's remarkable journey as an inventor exemplifies the power of ingenuity and perseverance in driving technological progress. His contributions to the field of analog neural memory systems have not only expanded our understanding of memory technology but have also opened up new possibilities for future innovation. As we look ahead to the evolving landscape of artificial intelligence and neural networks, Lemke's legacy will undoubtedly continue to inspire generations of innovators to come.

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