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For the Inventor, By the Inventor

Longmont, CO, United States of America

Kristof Denolf

USPTO Granted Patents = 8 

Average Co-Inventor Count = 2.1

ph-index = 2

Forward Citations = 15(Granted Patents)


Location History:

  • Ghent, BE (2012)
  • Bruges, BE (2013)
  • Los Gatos, CA (US) (2023)
  • Longmont, CO (US) (2022 - 2024)

Company Filing History:

goldMedal8 out of 5,002 
 
Xilinx, Inc.
 patents

Years Active: 2012-2025

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8 patents (USPTO):
1. 12393480 - Reclamation of memory ECC bits for error tolerant number formats (2025-08-19),
2. 12271818 - Implementation-tuned architecture for neural network processing in a learned transform domain (2025-04-08),
3. 12067484 - Learning neural networks of programmable device blocks directly with backpropagation (2024-08-20),
4. 11954359 - Circular buffer architecture using local memories with limited resources (2024-04-09),
5. 11676004 - Architecture optimized training of neural networks (2023-06-13),
6. 11327677 - Data mover circuitry for N-dimensional data in an integrated circuit (2022-05-10),
7. 8594186 - Digital video coding using quantized DC block values (2013-11-26),
8. 8275047 - Method and device for block-based conditional motion compensation (2012-09-25),

Title: Innovations of Kristof Denolf

Introduction

Kristof Denolf is a prominent inventor based in Longmont, Colorado. He has made significant contributions to the field of computing and neural networks, holding a total of 8 patents. His work focuses on enhancing the efficiency and accuracy of computing systems.

Latest Patents

One of his latest patents is titled "Reclamation of memory ECC bits for error tolerant number formats." This invention outlines a method for operating a computing system that determines baseline accuracy based on data transmission formats and error correction bits. It involves selecting data transmission formats to optimize memory usage and accuracy. Another notable patent is "Implementation-tuned architecture for neural network processing in a learned transform domain." This patent describes a learnable transform block that improves the processing of data in neural networks, allowing for reduced computational resources while maintaining accuracy.

Career Highlights

Kristof Denolf is currently employed at Xilinx, Inc., where he continues to innovate in the field of technology. His work has been instrumental in advancing the capabilities of computing systems and neural networks.

Collaborations

He has collaborated with notable coworkers such as Kornelis Antonius Vissers and Jack S Lo, contributing to various projects that enhance technological advancements.

Conclusion

Kristof Denolf's contributions to the field of computing and neural networks are noteworthy. His innovative patents reflect his commitment to improving technology and efficiency in computing systems.

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