Austin, TX, United States of America

Dibakar Gope

USPTO Granted Patents = 2 

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023-2024

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2 patents (USPTO):Explore Patents

Title: **Dibakar Gope: Innovating the Future of Artificial Neural Networks**

Introduction

Dibakar Gope is a prominent inventor based in Austin, TX, known for his significant contributions to the field of artificial intelligence and neural networks. With a total of two patents to his name, Gope's work is at the forefront of technological innovations aimed at enhancing the performance and efficiency of artificial neural networks.

Latest Patents

Dibakar Gope’s recent patents reflect his expertise in mixed-precision computation within artificial neural networks. His first patent, titled *Hybrid Filter Banks for Artificial Neural Networks*, describes a system that integrates high and low precision weight filters to perform calculations on input feature maps. This innovation allows for the creation of a unified output feature map that enhances processing efficiency, pivotal for advancing AI applications.

The second patent, *Mixed-Precision Computation Unit*, introduces a specialized unit designed to execute mixed-precision layers within neural networks. This unit incorporates a variety of circuits—such as multiplier, adder, and accumulator circuits—along with a controller that manages different operating modes for efficient computation. This development is a significant step towards optimizing neural network performance while reducing resource consumption.

Career Highlights

Currently, Dibakar Gope is associated with Arm Limited, a leading company in semiconductor and software design. His work at Arm focuses on pioneering advancements in artificial intelligence, specifically targeted at improving the capabilities of neural networks through innovative computational methods.

Collaborations

Throughout his career, Dibakar Gope has collaborated with esteemed professionals Jesse Garrett Beu and Paul Nicholas Whatmough. These partnerships have facilitated the exchange of ideas and expertise, further enhancing the impact of their collective contributions to the field of artificial intelligence.

Conclusion

Dibakar Gope's innovative patents and collaborative efforts mark significant strides in the realm of artificial neural networks. His contributions not only reflect his technical prowess but also demonstrate a commitment to advancing technology for the betterment of society. As he continues to develop cutting-edge solutions, the influence of his work will surely resonate within the field and beyond.

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