Champaign, IL, United States of America

Sidharth Gupta


Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):

Title: Innovations by Sidharth Gupta: A Deep Dive into His Patented Work

Introduction

Sidharth Gupta, based in Champaign, IL, is an innovative inventor recognized for his significant contributions to the field of technology and machine learning. With a patent to his name, Gupta has made strides in improving the efficiency of model training processes, which are essential in today's data-driven economy.

Latest Patents

Gupta's patent, titled "Performance Based Switching of a Model Training Process," focuses on systems, computer-implemented methods, and computer program products designed to enhance the training of models. This patent presents an innovative approach allowing a seamless transition between ground truth training and adversarial training phases based on the performance of models. The system he developed incorporates a memory for storing executable components and a processor that executes these components, featuring an analysis component that identifies performance conditions. It includes a trainer component responsible for switching the model training process as needed.

Career Highlights

Sidharth Gupta is associated with IBM, one of the most influential technology companies in the world. His work at IBM has allowed him to be at the forefront of technological innovation, applying his expertise in machine learning and system design to develop practical solutions for advancing the industry.

Collaborations

Throughout his career, Gupta has collaborated with notable colleagues such as Parijat Dube and Ashish Verma. These collaborations have facilitated a shared exchange of ideas, driving advancements in innovative technologies and enhancing the overall effectiveness of their projects.

Conclusion

Sidharth Gupta's contributions, particularly through his patented work, showcase his commitment to innovation in the tech sector. His ability to identify performance conditions and adjust training processes reflects the changing landscape of technology and its applications. As he continues to work with IBM, Gupta is poised to make even more significant contributions to the field of machine learning and beyond.

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