Sunnyvale, CA, United States of America

Reiner Alwyn Pope

USPTO Granted Patents = 9 

 

Average Co-Inventor Count = 1.6

ph-index = 1

Forward Citations = 3(Granted Patents)


Location History:

  • Mountain View, CA (US) (2023)
  • Sunnyvale, CA (US) (2023 - 2024)

Company Filing History:


Years Active: 2023-2025

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9 patents (USPTO):Explore Patents

Title: Innovations by Reiner Alwyn Pope

Introduction

Reiner Alwyn Pope is a notable inventor based in Sunnyvale, CA. He has made significant contributions to the field of technology, particularly in machine learning and matrix multiplication. With a total of 9 patents to his name, Pope continues to push the boundaries of innovation.

Latest Patents

One of his latest patents is titled "Control of deterministic machine learning systems using trigger tables and configuration state registries." This method involves receiving control data at a data selector, which includes a configuration registry address and configuration data for a circuit element. The process allows for the updating of the circuit element's state based on the configuration data received.

Another significant patent is "Sparse matrix multiplication in hardware." This invention provides methods and systems for efficient matrix multiplication using an array of sparse shards. Each shard is designed to handle input sub-matrices and sub-vectors, computing products of vector values with non-zero values of the input sub-matrix. The output is a shard output vector that results from applying the input vector to the input matrix.

Career Highlights

Reiner Alwyn Pope is currently employed at Google Inc., where he continues to innovate and develop new technologies. His work has had a profound impact on the efficiency and effectiveness of computational systems.

Collaborations

Pope has collaborated with notable colleagues, including Michial Allen Gunter and Brian Foley. These collaborations have further enhanced his contributions to the field.

Conclusion

Reiner Alwyn Pope is a distinguished inventor whose work in machine learning and matrix multiplication has led to significant advancements in technology. His innovative patents and collaborations reflect his commitment to pushing the frontiers of engineering and computer science.

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