Santa Clara, CA, United States of America

Yogesh Laxmikant Chobe

USPTO Granted Patents = 5 

 

Average Co-Inventor Count = 7.0

ph-index = 3

Forward Citations = 30(Granted Patents)


Company Filing History:


Years Active: 2015-2022

where 'Filed Patents' based on already Granted Patents

5 patents (USPTO):

Title: **Yogesh Laxmikant Chobe: Innovator in Machine Learning Technologies**

Introduction

Yogesh Laxmikant Chobe is an accomplished inventor based in Santa Clara, CA, who has made significant contributions to the field of machine learning. With a total of five patents to his name, Chobe demonstrates a strong commitment to innovation and technological advancement.

Latest Patents

Among his latest patents is a groundbreaking invention titled "Machine learning network implemented by statically scheduled instructions with system-on-chip." This invention introduces a compiler that receives a description of a machine learning network and generates a corresponding computer program. The program utilizes statically scheduled instructions executed by a mesh of processing elements, or Tiles. The innovative approach ensures that instructions can be predetermined without conditions, branching, or data dependencies that might otherwise hinder the timing and order of execution.

Another notable patent by Chobe is "Machine learning network implemented by statically scheduled instructions with MLA chip," which shares similar features to his previous work, emphasizing the execution of statically scheduled instructions for enhanced efficiency.

Career Highlights

Chobe has worked for notable companies including Sima Technologies, Inc. and Xilinx, Inc. Throughout his career, he has focused on developing technologies that streamline machine learning processes, further establishing him as a key player in his field.

Collaborations

While at the forefront of his innovative work, Chobe has collaborated with talented professionals such as Nishit Harshad Shah and Reed Kotler. These collaborations have fostered an environment of creativity and expertise, enabling the development of advanced technological solutions.

Conclusion

Yogesh Laxmikant Chobe continues to contribute to the world of technology through his inventive spirit and strategic collaborations. His patents in machine learning not only reflect his deep understanding of the field but also serve as a foundation for future advancements in computational efficiency and innovation.

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