San Jose, CA, United States of America

Ravi Narayanaswami

USPTO Granted Patents = 46 

 

Average Co-Inventor Count = 3.4

ph-index = 9

Forward Citations = 451(Granted Patents)


Location History:

  • Saratoga, CA (US) (2019)
  • San Jose, CA (US) (2017 - 2024)

Company Filing History:


Years Active: 2017-2025

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46 patents (USPTO):

Title: Innovations of Ravi Narayanaswami: A Leader in Machine Learning Hardware

Introduction: Ravi Narayanaswami, based in San Jose, CA, has made significant contributions to the field of machine learning hardware, holding an impressive total of 43 patents. His inventive spirit and expertise have led to groundbreaking advancements in the efficiency and performance of machine learning systems.

Latest Patents: Among his latest patents, one noteworthy innovation is titled "Preemption in a machine learning hardware accelerator." This patent describes a system and method for preempting a long-running process with a higher priority process, significantly enhancing the performance of machine learning systems like hardware accelerators. The system is designed to include semiconductor chips that serve as application-specific integrated circuits (ASICs), tailored for machine learning operations.

Another significant patent is "Apparatus and mechanism for processing neural network tasks using a single chip package with multiple identical dies." This patent provides apparatuses and methods for efficiently processing neural network models. It includes a plurality of identical artificial intelligence processing dies that connect through inter-die communication paths, allowing efficient collaboration among the dies and corresponding to different layers of a neural network.

Career Highlights: Ravi currently works with Google Inc., where he plays a key role in advancing their machine learning hardware technologies. Throughout his career, he has focused on integrating innovative solutions into complex systems, contributing to the evolution of artificial intelligence.

Collaborations: Collaborating with talented professionals like Dong Hyuk Woo and Olivier Temam, Ravi has contributed to significant research and development projects. These partnerships amplify the creative potential and drive the evolution of cutting-edge machine learning technologies.

Conclusion: Ravi Narayanaswami stands out as a prominent inventor in the machine learning field. His 43 patents demonstrate his commitment to innovation and enhance the capabilities of technology in impactful ways. As machine learning continues to evolve, the contributions of inventors like Ravi will undoubtedly shape the future of this exciting field.

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