Boise, ID, United States of America

Abhishek Chaurasia

USPTO Granted Patents = 8 

Average Co-Inventor Count = 2.4

ph-index = 2

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2024-2025

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8 patents (USPTO):

Title: Abhishek Chaurasia: Innovator in Deep Learning Technologies

Introduction

Abhishek Chaurasia is a prominent inventor based in Boise, ID (US). He has made significant contributions to the field of artificial intelligence and deep learning, holding a total of 8 patents. His work focuses on optimizing technologies that enhance the performance of machine learning models and deep learning accelerators.

Latest Patents

Chaurasia's latest patents include a groundbreaking compiler that utilizes an artificial neural network to optimize instructions for execution on deep learning accelerators. This innovation describes systems, devices, and methods that enhance the efficiency of integrated circuit devices configured to execute instructions with matrix operands. The compiler is designed to identify optimized compilation options based on the features of the artificial neural network and the hardware platform. Additionally, he has developed systems and methods for training machine learning models aimed at denoising images. This involves training a model to identify and remove noise from images using a sequence of images, potentially employing a recurrent neural network with a modular architecture.

Career Highlights

Chaurasia is currently employed at Micron Technology Incorporated, where he continues to push the boundaries of technology in the field of deep learning. His innovative approaches have positioned him as a key player in the advancement of machine learning applications.

Collaborations

He collaborates with talented coworkers, including Katya Giannios and Bambi L DeLaRosa, contributing to a dynamic and innovative work environment.

Conclusion

Abhishek Chaurasia's contributions to deep learning and artificial intelligence exemplify the impact of innovation in technology. His patents reflect a commitment to enhancing machine learning capabilities, making him a notable figure in the field.

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