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For the Inventor, By the Inventor

Hod Hasharon, Israel

Ofir Pele

This inventor holds 17 USPTO granted patents and 4 published patent applications and 1 EPO patent, primarily in Machine Learning Storage. Top assignees: Western Digital Technologies, Inc., Sandisk Technologies Inc., Yissum Research Development Company of the Hebrew University of Jerusalem Ltd.. Active years: 2013-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ofir Pele. Retrieved from https://idiyas.com/inventor/ofir-pele

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

Calculating rank
USPTO Granted Patents = 17 

% Patents Active = 88.2


Average Co-Inventor Count = 4.4

ph-index = 2

Forward Citations = 10(Granted Patents)


Location History:

  • Jerusalem, IL (2013 - 2020)
  • Netanya, IL (2022 - 2023)
  • Hod Hasharon, IL (2021 - 2024)

Company Filing History:

goldMedal12 out of 5,431 
 
Western Digital Technologies, Inc.
 patents
silverMedal4 out of 4,962 
 
Sandisk Technologies Inc.
 patents
bronzeMedal1 out of 915 
 
Yissum Research Development Company of the Hebrew University of Jerusalem Ltd.
 patents

Years Active: 2013-2026

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Areas of Expertise:
Motion Vector Determination
CMOS
Storage Device Calibration
Recurrent Neural Networks
Non-Volatile Memory
Deep Learning
Reinforcement Learning
Error Correction
Hybrid Memory Management
Data Processing
Temperature Compensation
Pattern Matching
17 patents (USPTO):Explore Patents
1. 12666057 - Motion vector determination with CMOS (2026-06-23),
2. 12632775 - Machine learning supplemented storage device calibration (2026-05-19),
3. 12475365 - Embedded multi-attribute machine learning for storage devices (2025-11-18),
4. 12417378 - Systems and methods for use with recurrent neural networks (2025-09-16),
5. 12393845 - Non-volatile memory die with deep learning neural network (2025-08-19),
6. 12373113 - Memory (NVM) devices for use with recurrent neural networks (2025-07-29),
7. 12293109 - Memory device with reinforcement learning with Q-learning acceleration (2025-05-06),
8. 11893244 - Hybrid memory management of non-volatile memory (NVM) devices for use with recurrent neural networks (2024-02-06),
9. 11838032 - Advanced ultra low power error correcting code encoders and decoders (2023-12-05),
10. 11755208 - Hybrid memory management of non-volatile memory (NVM) devices for use with recurrent neural networks (2023-09-12),
11. 11705191 - Non-volatile memory die with deep learning neural network (2023-07-18),
12. 11601656 - Video processing in a data storage device (2023-03-07),
13. 11494261 - Machine learning for temperature compensation (2022-11-08),
14. 11133059 - Non-volatile memory die with deep learning neural network (2021-09-28),
15. 10892784 - Memory device with enhanced error correction via data rearrangement, data partitioning, and content aware decoding (2021-01-12),

Title: Inventor Ofir Pele: Revolutionizing Technology in Hod Hasharon, IL

Introduction: Ofir Pele is a visionary inventor based in Hod Hasharon, Israel, known for his groundbreaking contributions to the field of technology.

Latest Patents: Ofir Pele holds several patents in the areas of artificial intelligence, robotics, and renewable energy, showcasing his innovative approach to solving complex problems.

Career Highlights: With a career spanning over two decades, Ofir Pele has worked with leading tech companies to develop cutting-edge solutions that have redefined industries.

Collaborations: Throughout his career, Ofir Pele has collaborated with top researchers, engineers, and scientists to bring his ideas to life, leading to successful projects that have had a lasting impact.

Conclusion: Ofir Pele's passion for innovation and his relentless drive to push the boundaries of technology make him a true pioneer in the field of inventions, inspiring the next generation of inventors to dream big and create change.

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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