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For the Inventor, By the Inventor

Mountain View, CA, United States of America

Thomas Mark Ulrich

This inventor holds 16 USPTO granted patents and 7 published patent applications and 1 EPO patent, primarily in Matrix Processing. Top assignee: Meta Platforms, Inc.. Active years: 2021-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Thomas Mark Ulrich. Retrieved from https://idiyas.com/inventor/thomas-mark-ulrich

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

Calculating rank
USPTO Granted Patents = 16 

% Patents Active = 87.5

 

Average Co-Inventor Count = 4.0

ph-index = 3

Forward Citations = 19(Granted Patents)


Location History:

  • Mountain View, CA (US) (2021 - 2023)
  • Sunnyvale, CA (US) (2023)

Company Filing History:

goldMedal16 out of 9,906 
 
Meta Platforms, Inc.
 patents

Years Active: 2021-2026

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Areas of Expertise:
Machine Learning
Data Compression
Matrix Multiplication
Convolution Operations
Power Consumption
Hardware Multiplier
Floating Point Arithmetic
High Throughput
Matrix Processor
Adder Tree
Low-Bit-Width
Channel Convolution
16 patents (USPTO):Explore Patents
1. 12640753 - Selective and flexible compression of data associated with a machine learning model (2026-05-26),
2. 11829441 - Device and method for flexibly summing matrix values (2023-11-28),
3. 11614920 - Bypassing zero-value multiplications in a hardware multiplier (2023-03-28),
4. 11599181 - Systems and methods for reducing power consumption of convolution operations of artificial neural networks (2023-03-07),
5. 11580192 - Grouped convolution using point-to-point connected channel convolution engines (2023-02-14),
6. 11537865 - Mapping convolution to a channel convolution engine (2022-12-27),
7. 11520854 - Support for different matrix multiplications by selecting adder tree intermediate results (2022-12-06),
8. 11520853 - Mapping convolution to a partition channel convolution engine (2022-12-06),
9. 11455143 - Using a low-bit-width dot product engine to sum high-bit-width numbers (2022-09-27),
10. 11443013 - Pipelined pointwise convolution using per-channel convolution operations (2022-09-13),
11. 11409838 - High throughput matrix processor with support for concurrently processing multiple matrices (2022-08-09),
12. 11379557 - Device and method for flexibly summing matrix values (2022-07-05),
13. 11372644 - Matrix processing instruction with optional up/down sampling of matrix (2022-06-28),
14. 11275560 - Hardware for floating-point arithmetic in multiple formats (2022-03-15),
15. 11188303 - Floating point multiply hardware using decomposed component numbers (2021-11-30),

Title: The Innovative Journey of Thomas Mark Ulrich

Introduction:

Thomas Mark Ulrich, a visionary inventor based in Mountain View, CA, has made significant contributions to the field of technology with his groundbreaking innovations.

Latest Patents:

Thomas Mark Ulrich's latest patents include a cutting-edge virtual reality device that revolutionizes the gaming industry and a sustainable energy solution that aims to reduce carbon emissions.

Career Highlights:

With a career spanning over two decades, Thomas Mark Ulrich has established himself as a pioneer in the tech industry. He has worked for leading tech companies, where he honed his skills and developed a keen eye for identifying gaps in the market that could be filled with innovative solutions.

Collaborations:

Throughout his career, Thomas Mark Ulrich has collaborated with top engineers, designers, and scientists to bring his ideas to life. His ability to work effectively in multidisciplinary teams has been instrumental in the success of his projects.

Conclusion:

In conclusion, Thomas Mark Ulrich's passion for innovation and his relentless drive to push the boundaries of technology have solidified his position as a respected inventor in the industry. His dedication to creating solutions that make a positive impact on society sets him apart as a true visionary.

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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