IDiyas

For the Inventor, By the Inventor

San Francisco, CA, United States of America

Paul Ronald Barham

USPTO Granted Patents = 14 

 

Average Co-Inventor Count = 3.0

ph-index = 7

Forward Citations = 150(Granted Patents)


Company Filing History:

goldMedal10 out of 54,638 
 
Microsoft Technology Licensing, LLC
 patents
silverMedal4 out of 32,429 
 
Google Inc.
 patents

Years Active: 2013-2024

where 'Filed Patents' based on already Granted Patents

14 patents (USPTO):
1. 12112198 - Asynchronous distributed data flow for machine learning workloads (2024-10-08),
2. 11556381 - Asynchronous distributed data flow for machine learning workloads (2023-01-17),
3. 11151446 - Stream-based accelerator processing of computational graphs (2021-10-19),
4. 10373053 - Stream-based accelerator processing of computational graphs (2019-08-06),
5. 10203974 - Probe insertion via background virtual machine (2019-02-12),
6. 9747726 - Late stage reprojection (2017-08-29),
7. 9686355 - Third party initiation of communications between remote parties (2017-06-20),
8. 9514571 - Late stage reprojection (2016-12-06),
9. 9424019 - Updating hardware libraries for use by applications on a computer system with an FPGA coprocessor (2016-08-23),
10. 9268613 - Scheduling and management in a personal datacenter (2016-02-23),
11. 9230091 - Managing use of a field programmable gate array with isolated components (2016-01-05),
12. 8933931 - Distributed asynchronous localization and mapping for augmented reality (2015-01-13),
13. 8565520 - Determining foreground regions and background regions in an image (2013-10-22),
14. 8560839 - Tamper proof location services (2013-10-15),

Title: **The Innovative Mind of Paul Ronald Barham**

Introduction

Paul Ronald Barham, an accomplished inventor based in San Francisco, CA, has made significant contributions to the field of machine learning. With a total of 14 patents to his name, he stands out for his dedication to advancing technology. His work primarily focuses on enhancing the efficiency and effectiveness of machine learning workloads through innovative approaches.

Latest Patents

One of Barham's latest patents is titled "Asynchronous Distributed Data Flow for Machine Learning Workloads." This invention elaborates on methods, systems, and apparatuses, including computer programs encoded on storage media, aimed at distributing machine learning workloads effectively. The patent outlines how computations for training a neural network or computing inferences using a neural network can be executed across multiple hardware accelerators. The system includes several accelerator islands, each hosting a diverse range of hardware devices, and is equipped with a scheduler to efficiently manage workloads. This innovative solution not only optimizes resource utilization but also accelerates machine learning processes significantly.

Career Highlights

Throughout his career, Paul Ronald Barham has worked with leading technology companies, including Microsoft Technology Licensing LLC and Google Inc. His experience at these firms has deepened his expertise in machine learning and hardware acceleration, laying the foundation for his inventive contributions.

Collaborations

Barham has collaborated with notable professionals in the tech industry, such as Michael Isard and Joseph N. Figueroa. These collaborations have allowed him to exchange ideas and foster innovations that push the boundaries of current machine learning technologies.

Conclusion

Paul Ronald Barham's innovative spirit and technical prowess have led to remarkable advancements in machine learning. With 14 patents under his belt and impactful collaborations, he continues to be a vital player in the tech industry, shaping the future of machine learning through his inventive solutions. His achievements serve as an inspiration to aspiring inventors and innovators worldwide.

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