New York, NY, United States of America

James Hippisley Robinson

USPTO Granted Patents = 9 

Average Co-Inventor Count = 1.9

ph-index = 2

Forward Citations = 6(Granted Patents)


Location History:

  • Arvada, CO (US) (1993)
  • Santa Clara, CA (US) (2020)
  • New York, NY (US) (2013 - 2024)

Company Filing History:


Years Active: 1993-2025

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9 patents (USPTO):Explore Patents

Title: James Hippisley Robinson: Innovator in Neural Network Data Computation

Introduction

James Hippisley Robinson is a notable inventor based in New York, NY (US). He has made significant contributions to the field of computing, particularly in neural networks and memory address translation. With a total of 9 patents to his name, Robinson's work continues to influence advancements in technology.

Latest Patents

Robinson's latest patents include innovative techniques for neural network data computation using mixed-precision. This patent discloses methods for manipulating data efficiently by obtaining groups of bytes for computation and performing sum of products on 8-bit integer data. Another significant patent focuses on translating virtual memory addresses to physical memory addresses. This method utilizes an N-level page table and a translation lookaside buffer (TLB) to enhance the efficiency of memory access in computing devices.

Career Highlights

Throughout his career, Robinson has worked with various companies, including Mips Tech Limited. His expertise in data computation and memory management has positioned him as a key figure in the tech industry. His innovative approaches have paved the way for more efficient computing processes.

Collaborations

Robinson has collaborated with talented individuals such as Sanjay Patel and Morgyn Taylor. These partnerships have contributed to the development of groundbreaking technologies in the field.

Conclusion

James Hippisley Robinson is a distinguished inventor whose work in neural networks and memory address translation has made a lasting impact on technology. His contributions continue to shape the future of computing.

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