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For the Inventor, By the Inventor

San Jose, CA, United States of America

Sara S Baghsorkhi

This inventor holds 82 USPTO granted patents and 15 published patent applications and 17 EPO patents, primarily in Machine Learning Optimization (CPC class G06N3-063). Top assignee: Intel Corporation. Active years: 2015-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sara S Baghsorkhi. Retrieved from https://idiyas.com/inventor/sara-s-baghsorkhi

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

USPTO Granted Patents = 82 

% Patents Active = 87.8

 

Average Co-Inventor Count = 6.2

ph-index = 7

Forward Citations = 226(Granted Patents)

Forward Citations (Not Self Cited) = 171(Dec 10, 2025)


Inventors with similar research interests:

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Location History:

  • San Jose, CA (US) (2015 - 2024)
  • Los Gatos, CA (US) (2020 - 2024)

Company Filing History:

goldMedal82 out of 56,322 
 
Intel Corporation
 patents

Years Active: 2015-2026

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Areas of Expertise:
Neural Networks
Machine Learning
Compute Optimization
Graphics Processors
Low Precision Operations
Convolution Hardware
Dynamic Training
Data Management
FaaS Enhancements
Sparse Matrix
Automated Learning
Autonomous Machines
82 patents (USPTO):Explore Patents
1. 12608600 - Specialized fixed function hardware for efficient convolution (2026-04-21),
2. 12462328 - Coordination and increased utilization of graphics processors during inference (2025-11-04),
3. 12430131 - Compute optimizations for neural networks (2025-09-30),
4. 12412086 - Neural network optimization mechanism (2025-09-09),
5. 12373911 - Compute optimizations for low precision machine learning operations (2025-07-29),
6. 12198221 - Compute optimization mechanism for deep neural networks (2025-01-14),
7. 12162480 - Methods and apparatus to mitigate hard-braking events (2024-12-10),
8. 12148063 - Compute optimizations for low precision machine learning operations (2024-11-19),
9. 12112397 - Programmable coarse grained and sparse matrix compute hardware with advanced scheduling (2024-10-08),
10. 12112167 - Matrix data scatter and gather between rows and irregularly spaced memory locations (2024-10-08),
11. 12086657 - Unified programming interface for regrained tile execution (2024-09-10),
12. 12050984 - Specialized fixed function hardware for efficient convolution (2024-07-30),
13. 12045677 - Unified programming model for function as a service computing (2024-07-23),
14. 11948224 - Compute optimizations for low precision machine learning operations (2024-04-02),
15. 11922535 - Compute optimization mechanism for deep neural networks (2024-03-05),

Title: The Innovative Journey of Sara S. Baghsorkhi

Introduction: Sara S. Baghsorkhi is a pioneering inventor based in San Jose, California, known for her groundbreaking contributions to the field of technology and innovation.

Latest Patents: Sara S. Baghsorkhi holds several patents in the areas of artificial intelligence, machine learning, and data analytics, showcasing her commitment to pushing the boundaries of technological advancement.

Career Highlights: With a career spanning over two decades, Sara S. Baghsorkhi has worked with leading tech companies, research institutions, and universities, where she has played a key role in developing cutting-edge technologies that have revolutionized the industry.

Collaborations: Throughout her career, Sara S. Baghsorkhi has collaborated with top researchers, engineers, and innovators, fostering a culture of creativity and excellence that has led to numerous breakthroughs in the tech sector.

Conclusion: Sara S. Baghsorkhi's relentless pursuit of innovation and her passion for pushing the limits of technology have solidified her reputation as a visionary inventor in the ever-evolving world of tech.

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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