Sunnyvale, CA, United States of America

Scott Layson Burson

USPTO Granted Patents = 5 

Average Co-Inventor Count = 4.7

ph-index = 2

Forward Citations = 12(Granted Patents)


Location History:

  • Sunnyvale, CA (US) (2021 - 2023)
  • Palo Alto, CA (US) (2024)

Company Filing History:


Years Active: 2021-2025

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5 patents (USPTO):Explore Patents

Title: Inventor Spotlight: Scott Layson Burson

Introduction

Scott Layson Burson, a distinguished inventor based in Sunnyvale, California, has made significant contributions to the fields of matrix processing and tensor manipulation. With a total of three patents to his name, he is recognized for his innovative approaches that aim to enhance computational efficiency.

Latest Patents

Scott's latest patents reflect his commitment to advancing technology in powerful ways. One of his notable inventions is related to "Tensor Partitioning and Partition Access Order," which introduces a method for processing partitions of a tensor in a specific target order. This system involves receiving partitions from multiple producer units, storing them, and then providing them in the desired target order for processing by consumer units, thereby optimizing computational workflows.

Another significant patent is focused on "Sparse Matrix Multiplier in Hardware and a Reconfigurable Data Processor including Same." This technology addresses matrix multiplication using a sparse matrix, where the multipliers can greatly benefit computational efficiency. The device features circuitry designed to process and multiply matrices in an innovative manner, resulting in quicker and more efficient calculations.

Career Highlights

Scott Layson Burson currently works at Sambanova Systems, Inc., where he applies his expertise to push the boundaries of data processing technologies. His work at Sambanova represents a culmination of his dedication to innovation in machine learning and data handling.

Collaborations

Throughout his career, Scott has collaborated with other talented individuals in the industry, including Raghu Prabhakar and Nathan Francis Sheeley. These collaborations have enabled him to further explore and develop groundbreaking solutions in computation.

Conclusion

In conclusion, Scott Layson Burson is a notable inventor whose work continues to influence the realms of tensor processing and hardware multiplication. His patents not only reflect his inventive spirit but also contribute to the future of computational technologies, positioning him as a key figure in the industry.

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