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For the Inventor, By the Inventor

Menlo Park, CA, United States of America

Tatiana Shpeisman

This inventor holds 76 USPTO granted patents and 13 published patent applications and 23 EPO patents, primarily in Neural Network Optimization (CPC class G06F). Top assignee: Intel Corporation. Active years: 2005-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Tatiana Shpeisman. Retrieved from https://idiyas.com/inventor/tatiana-shpeisman

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

Calculating rank
USPTO Granted Patents = 76 

% Patents Active = 69.7

 

Average Co-Inventor Count = 5.7

ph-index = 13

Forward Citations = 501(Granted Patents)

Forward Citations (Not Self Cited) = 417(Dec 10, 2025)


Inventors with similar research interests:


Company Filing History:

goldMedal76 out of 56,394 
 
Intel Corporation
 patents

Years Active: 2005-2026

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Areas of Expertise:
Neural Network Optimization
Graphics Processing
Fixed Function Hardware
Floating Point Operations
Machine Learning
Concurrency
Data Path Optimization
Heterogeneous Computing
Dynamic Precision
Compute Optimization
Task Scheduling
Person Tracking
76 patents (USPTO):Explore Patents
1. 12608600 - Specialized fixed function hardware for efficient convolution (2026-04-21),
2. 12536130 - Graphics processing integrated circuit package (2026-01-27),
3. 12411695 - Multicore processor with each core having independent floating point datapath and integer datapath (2025-09-09),
4. 12346798 - Dynamic precision for neural network compute operations (2025-07-01),
5. 12217053 - Instructions and logic to perform floating point and integer operations for machine learning (2025-02-04),
6. 12175252 - Concurrent multi-datatype execution within a processing resource (2024-12-24),
7. 12147849 - Work stealing in heterogeneous computing systems (2024-11-19),
8. 12141578 - Instructions and logic to perform floating point and integer operations for machine learning (2024-11-12),
9. 12056788 - Compute optimization mechanism (2024-08-06),
10. 12050984 - Specialized fixed function hardware for efficient convolution (2024-07-30),
11. 12039331 - Instructions and logic to perform floating point and integer operations for machine learning (2024-07-16),
12. 12020135 - Convolutional neural network optimization mechanism (2024-06-25),
13. 11934934 - Convolutional neural network optimization mechanism (2024-03-19),
14. 11748606 - Dynamic precision for neural network compute operations (2023-09-05),
15. 11748298 - Graphics processing integrated circuit package (2023-09-05),

Title: Inventor Tatiana Shpeisman: Revolutionizing Technology

Introduction: Tatiana Shpeisman is a pioneering inventor based in Menlo Park, CA, known for her groundbreaking contributions to the field of technology.

Latest Patents: Tatiana Shpeisman holds several patents in the areas of artificial intelligence, machine learning, and robotics, showcasing her innovative mindset and forward-thinking approach.

Career Highlights: With a career spanning over two decades, Tatiana has worked with leading tech companies, research institutions, and universities to develop cutting-edge technologies that have reshaped industries.

Collaborations: Throughout her career, Tatiana has collaborated with top engineers, scientists, and researchers, fostering a culture of innovation and creativity that has led to numerous successful projects and inventions.

Conclusion: Tatiana Shpeisman's passion for innovation and her relentless pursuit of technological advancement continue to inspire the next generation of inventors and 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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