Cupertino, CA, United States of America

Saurabh Jain


Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Saurabh Jain: Innovator in Machine Learning Accelerators

Introduction

Saurabh Jain is a notable inventor based in Cupertino, California. He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on enhancing the efficiency of machine learning accelerators, which are crucial for processing complex algorithms.

Latest Patents

Saurabh Jain holds a patent titled "Using cycle counts to serve compute elements executing statically scheduled instructions for a machine learning accelerator." This invention involves a machine learning accelerator implemented on a semiconductor die. It features a computing mesh of interconnected compute elements, including storage elements and processing elements. The compute elements execute a program of instructions to implement a machine learning network according to a static schedule. A compiler plays a vital role in determining allowable time windows for transferring instructions and data from off-chip memory to the compute elements. This ensures that the static schedule is fulfilled efficiently.

Career Highlights

Saurabh Jain is currently employed at Sima Technologies, Inc., where he continues to develop innovative solutions in the realm of machine learning. His expertise in this area has positioned him as a valuable asset to his company and the industry at large.

Collaborations

Saurabh collaborates with Subba Rao Venkata Kalari, a fellow innovator at Sima Technologies, Inc. Their combined efforts contribute to advancing the technology behind machine learning accelerators.

Conclusion

Saurabh Jain's contributions to machine learning technology through his patent demonstrate his commitment to innovation. His work not only enhances the capabilities of machine learning accelerators but also paves the way for future advancements in the field.

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