Santa Clara, CA, United States of America

Philip Payman Shirvani

USPTO Granted Patents = 10 

Average Co-Inventor Count = 3.2

ph-index = 3

Forward Citations = 18(Granted Patents)


Location History:

  • San Jose, CA (US) (2014 - 2018)
  • Santa Clara, CA (US) (2019 - 2023)
  • San Mateo, CA (US) (2021 - 2023)

Company Filing History:


Years Active: 2014-2025

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10 patents (USPTO):

Title: Innovations of Philip Payman Shirvani

Introduction

Philip Payman Shirvani is a notable inventor based in Santa Clara, California. He has made significant contributions to the field of technology, particularly in the areas of neural networks and memory vulnerability. With a total of 10 patents to his name, Shirvani's work is at the forefront of innovation in autonomous driving applications and data reliability.

Latest Patents

One of his latest patents focuses on using neural networks to perform fault detection in autonomous driving applications. In this invention, motifs, watermarks, and signature inputs are applied to a deep neural network (DNN) to detect faults in the underlying hardware and software executing the DNN. The system compares information corresponding to these motifs and signatures to the outputs generated by the DNN. If the accuracy of the predictions falls below a certain threshold, the system can identify faults and take necessary actions, such as shutting down affected portions or switching to redundant systems.

Another significant patent addresses the evaluation of memory vulnerability to soft errors. This invention characterizes the degree of vulnerability of memory used by computers, which is prone to faults. By understanding this vulnerability, cost and reliability trade-offs can be determined, and soft error detection mechanisms can be selectively employed. This innovation aims to enhance the reliability of data processing in various applications.

Career Highlights

Philip Payman Shirvani is currently employed at Nvidia Corporation, a leading company in the field of graphics processing and artificial intelligence. His work at Nvidia has allowed him to explore and develop cutting-edge technologies that have a profound impact on the industry.

Collaborations

Shirvani has collaborated with notable colleagues, including Richard Gavin Bramley and Nirmal Raj Saxena. These collaborations have contributed to the advancement of his research and the successful development of his patents.

Conclusion

Philip Payman Shirvani is a distinguished inventor whose work in neural networks and memory reliability is shaping the future of technology. His contributions through patents and collaborations highlight his commitment to innovation and excellence in the field.

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