Cedar Park, TX, United States of America

Nathaniel Pinckney

This inventor holds 1 USPTO granted patent. Top assignee: Nvidia Corporation. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Nathaniel Pinckney. Retrieved from https://idiyas.com/inventor/nathaniel-pinckney-uz9ltez2

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


% Patents Active = 100.0

Average Co-Inventor Count = 11.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Nathaniel Pinckney: Innovator in Deep Learning Systems

Introduction

Nathaniel Pinckney is a notable inventor based in Cedar Park, Texas. He has made significant contributions to the field of deep learning through his innovative patent. His work focuses on enhancing the capabilities of distributed deep neural networks.

Latest Patents

Nathaniel holds a patent for a "Scalable multi-die deep learning system." This invention features a distributed deep neural net (DNN) that utilizes a tile-based architecture implemented on a semiconductor package. The package comprises multiple chips, each equipped with a central processing element, a global memory buffer, and processing elements. Each processing element includes a weight buffer, an activation buffer, and multiply-accumulate units that work in parallel to combine weight values and activation values.

Career Highlights

Nathaniel is currently employed at Nvidia Corporation, a leading company in graphics processing and artificial intelligence technologies. His role at Nvidia allows him to work on cutting-edge technologies that push the boundaries of deep learning and artificial intelligence.

Collaborations

He collaborates with talented coworkers, including Yakun Shao and Rangharajan Venkatesan, who contribute to the innovative projects at Nvidia.

Conclusion

Nathaniel Pinckney's contributions to deep learning systems exemplify the innovative spirit of modern technology. His patent reflects a significant advancement in the field, showcasing his expertise and dedication to pushing the limits of artificial intelligence.

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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