San Jose, CA, United States of America

Reed Kotler

USPTO Granted Patents = 11 

 

Average Co-Inventor Count = 2.4

ph-index = 1

Forward Citations = 11(Granted Patents)


Company Filing History:


Years Active: 2022-2025

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11 patents (USPTO):

Title: Reed Kotler: Innovator in Machine Learning Technology

Introduction

Reed Kotler is a prominent inventor based in San Jose, California, known for his significant contributions to the field of machine learning technology. With a total of 11 patents to his name, he has made remarkable advancements that enhance the efficiency and functionality of machine learning accelerators.

Latest Patents

Among his latest patents, Reed has developed a method for the synchronization of processing elements that execute statically scheduled instructions in a machine learning accelerator. This innovation addresses the challenge of bridging a deterministic phase of instructions with a non-deterministic phase during the execution of a machine learning network. In this non-deterministic phase, data and instructions are transferred from off-chip memory to on-chip memory. Once the transfer is complete, processing elements are synchronized, allowing for the execution of a deterministic phase of instructions.

Another notable patent focuses on a software-managed memory hierarchy. This invention also aims to bridge the deterministic and non-deterministic phases of instructions in a machine learning accelerator. It involves transferring data from off-chip memory to on-chip memory while ensuring that certain on-chip memory locations are not overwritten if they are still storing data for future consumption. This careful management allows for a seamless transition to the deterministic phase of instructions.

Career Highlights

Reed Kotler is currently employed at Sima Technologies, Inc., where he continues to innovate and develop cutting-edge technologies in the realm of machine learning. His work has positioned him as a key figure in the advancement of efficient processing techniques for machine learning applications.

Collaborations

Reed collaborates with talented individuals such as Nishit Harshad Shah and Srivathsa Dhruvanarayan, contributing to a dynamic and innovative work environment that fosters creativity and technological advancement.

Conclusion

Reed Kotler's contributions to machine learning technology through his patents and innovations have significantly impacted the field. His work continues to pave the way for future advancements in the industry.

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