Bothell, WA, United States of America

Olatunji Ruwase

USPTO Granted Patents = 5 

 

Average Co-Inventor Count = 4.1

ph-index = 2

Forward Citations = 12(Granted Patents)


Location History:

  • Bellevue, WA (US) (2020)
  • Bothell, WA (US) (2019 - 2021)

Company Filing History:


Years Active: 2019-2021

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5 patents (USPTO):Explore Patents

Title: Olatunji Ruwase: Innovator in Hardware Acceleration and Performance Investigation

Introduction

Olatunji Ruwase is a notable inventor based in Bothell, WA (US), recognized for his contributions to the fields of hardware acceleration and distributed processing systems. With a total of five patents to his name, Ruwase has made significant strides in enhancing computational efficiency and performance.

Latest Patents

Ruwase's latest patents include innovative technologies such as a hardware acceleration component for implementing convolutional neural networks. This component features an array of functional units, input data buffers, and weights data buffers, all designed to optimize the performance of neural networks. Another significant patent is a performance investigation tool (PIT) for analyzing the performance of distributed processing systems. This tool can operate in both manual and automatic modes, allowing for the exploration of system behavior and the identification of optimal configurations for executing graph processing tasks.

Career Highlights

Olatunji Ruwase is currently employed at Microsoft Technology Licensing, LLC, where he continues to develop cutting-edge technologies. His work focuses on improving the efficiency of computational systems, particularly in the realm of artificial intelligence and machine learning.

Collaborations

Ruwase has collaborated with esteemed colleagues such as Trishul A Chilimbi and Eric S Chung, contributing to a dynamic environment of innovation and research.

Conclusion

Olatunji Ruwase's work exemplifies the intersection of hardware and software innovation, making significant contributions to the field of technology. His patents reflect a commitment to advancing computational performance and efficiency.

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