Austin, TX, United States of America

Urmish Ajit Thakker

USPTO Granted Patents = 3 

Average Co-Inventor Count = 2.8

ph-index = 1


Company Filing History:


Years Active: 2022-2023

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3 patents (USPTO):

Title: Urmish Ajit Thakker: Innovator in Neural Networks and Natural Language Processing

Introduction

Urmish Ajit Thakker, based in Austin, TX, is a notable inventor in the field of artificial intelligence and machine learning. With a total of three patents to his name, Thakker’s contributions are significantly impacting advancements in recurrent neural networks and natural language processing applications.

Latest Patents

Thakker’s latest patent, titled "Skip predictor for pre-trained recurrent neural networks," introduces a system and method that enhances the efficiency of RNN state updates using a skip predictor. This innovation allows for sequential input data to be processed in a way that avoids unnecessary updates to the hidden state vector of a pre-trained RNN model, enabling faster processing without retraining the model itself.

Additionally, Thakker holds a patent for a "Hardware accelerator for natural language processing applications." This invention comprises a computing engine and dual memory systems designed to optimize the execution of natural language models and artificial neural networks (ANN). The architecture allows for efficient processing, yielding intermediate outputs that enhance the overall functionality of AI applications.

Career Highlights

Urmish Ajit Thakker is currently employed by Arm Limited, a leading technology company specializing in semiconductor and software design. His role in the company has allowed him to be at the forefront of AI research and development, contributing innovative solutions to complex problems in machine learning.

Collaborations

Thakker has collaborated with talented colleagues such as Ganesh Suryanarayan Dasika and Shidhartha Das. Their joint efforts in research and development have fostered a productive environment, leading to significant advancements in their field of expertise.

Conclusion

In conclusion, Urmish Ajit Thakker's work in neural networks and natural language processing reflects a strong commitment to innovation. His patents showcase his technical proficiency and dedication to advancing artificial intelligence, making a lasting impact within the industry. As technologies continue to evolve, Thakker's contributions will undoubtedly play a pivotal role in shaping the future of AI and machine learning.

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