Bengaluru, India

Bijay Kumar Soren

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Robert Bosch. Active years: 2026.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations of Bijay Kumar Soren

Introduction

Bijay Kumar Soren is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on enhancing the efficiency of machine learning models, which is crucial in today's data-driven world.

Latest Patents

Bijay Kumar Soren holds a patent titled "Systems and methods for expert guided semi-supervision with contrastive loss for machine learning models." This patent describes a method that includes several steps to improve machine learning models. The process involves receiving both labeled and unlabeled datasets, identifying sample pairs, applying data augmentation, and computing latent representation spaces. The method also generates label predictions and computes loss functions to optimize the model's performance. This innovative approach aims to enhance the accuracy and efficiency of machine learning applications.

Career Highlights

Bijay Kumar Soren is currently employed at Robert Bosch, a leading global engineering and technology company. His role involves working on advanced machine learning techniques that contribute to the company's innovative projects. His expertise in the field has positioned him as a valuable asset to his team.

Collaborations

Bijay collaborates with talented individuals such as Rizal Zaini Ahmad Fathony and Florian Lang. These collaborations foster a creative environment that encourages the exchange of ideas and enhances the development of innovative solutions.

Conclusion

Bijay Kumar Soren's contributions to machine learning through his patent demonstrate his commitment to innovation and excellence in technology. His work not only advances the field but also sets a foundation for future developments in machine learning.

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