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For the Inventor, By the Inventor

Addison, TX, United States of America

Craig William Warner

LinkedIn
USPTO Granted Patents = 28 


Average Co-Inventor Count = 3.4

ph-index = 5

Forward Citations = 90(Granted Patents)


Location History:

  • Aspen Court, TX (US) (2010 - 2012)
  • Addison, TX (US) (2003 - 2014)
  • Irving, TX (US) (2016)
  • Coppell, TX (US) (2016 - 2017)
  • Plano, TX (US) (2018 - 2024)

Company Filing History:

goldMedal15 out of 27,394 
 
Hewlett-packard Development Company, L.p.
 patents
silverMedal13 out of 5,249 
 
Hewlett Packard Enterprise Development LP
 patents

Years Active: 2003-2024

where 'Filed Patents' based on already Granted Patents

28 patents (USPTO):
1. 11947928 - Multi-die dot-product engine to provision large scale machine learning inference applications (2024-04-02),
2. 11532356 - Self-healing dot-product engine (2022-12-20),
3. 11024379 - Methods and systems for highly optimized memristor write process (2021-06-01),
4. 10984860 - Self-healing dot-product engine (2021-04-20),
5. 10847235 - Remapping operations (2020-11-24),
6. 10474389 - Write tracking for memories (2019-11-12),
7. 10312943 - Error correction code in memory (2019-06-04),
8. 10275307 - Detection of error patterns in memory dies (2019-04-30),
9. 10025716 - Mapping processor address ranges to persistent storage (2018-07-17),
10. 9830283 - Multi-mode agent (2017-11-28),
11. 9619303 - Prioritized conflict handling in a system (2017-04-11),
12. 9489308 - Cache line eviction based on write count (2016-11-08),
13. 9342452 - Mapping processor address ranges to persistent storage (2016-05-17),
14. 8898246 - Communication among partitioned devices (2014-11-25),
15. 8661208 - Non-inclusive cache systems and methods (2014-02-25),

Title: **Craig William Warner: Innovator in Machine Learning Technologies**

Introduction

Craig William Warner, based in Addison, TX, is a notable inventor with a remarkable portfolio of 28 patents. His work primarily focuses on advancements in machine learning inference applications and the development of innovative computing architectures. Through his inventions, he has significantly contributed to enhancing the efficiency and capabilities of deep learning operations.

Latest Patents

Craig's latest patents include groundbreaking innovations such as the **Multi-die Dot-product Engine to Provision Large Scale Machine Learning Inference Applications**. This invention introduces a multi-die architecture that enables the execution of deep learning operations across multiple chips, enhancing power efficiency for complex neural networks. Moreover, his patent for the **Self-healing Dot-product Engine** showcases a system comprised of partitioned memristor crossbar arrays. This technology utilizes redundant components to ensure fault tolerance and improve overall performance in computing tasks.

Career Highlights

Throughout his career, Craig has been associated with some of the industry's leading companies, including the Hewlett-Packard Development Company, L.P. and Hewlett Packard Enterprise Development LP. His tenure at these organizations has provided him with a robust platform to develop and refine his innovative ideas in computing technology.

Collaborations

Craig has collaborated with esteemed colleagues like Gary Belgrave Gostin and Gregg Bernard Lesartre. Their joint efforts in various projects have resulted in significant technological advancements in the realm of machine learning and artificial intelligence.

Conclusion

Craig William Warner exemplifies the spirit of innovation in the technology sector. With a wealth of patents to his name and impactful contributions to machine learning applications, he continues to pave the way for future advancements. His work not only enhances computational efficiency but also addresses complex challenges within the field, leaving a lasting influence on the technology landscape.

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