This inventor holds 4 USPTO granted patents and 4 published patent applications. Top assignees: Samsung Electronics Ltd., Samsung Electronics Co., Ltd., Sony Group Corporation. Active years: 2025-2026.
Company Filing History:


Years Active: 2025-2026
Title: Brijraj Singh: Innovator in Deep Neural Networks and Trust-Based Recommendations
Introduction
Brijraj Singh is a notable inventor based in Bengaluru, India. He has made significant contributions to the fields of deep learning and recommendation systems. With a total of 4 patents, his work focuses on optimizing neural networks and enhancing user recommendations through innovative methodologies.
Latest Patents
Brijraj Singh's latest patents include two groundbreaking inventions. The first patent is titled "Method and system of DNN modularization for optimal loading." This invention outlines a method for deep neural network (DNN) modularization, which involves receiving a DNN model for execution and determining the optimal way to split the model into sub-models based on various parameters. The second patent, "Generation of recommendations using trust-based embeddings," describes an electronic device that generates recommendations by analyzing user correlations in different domains. This device utilizes a Graph Attention Network model to create trust embeddings, ultimately applying a recommendation model to suggest items to users.
Career Highlights
Brijraj Singh has worked with prominent companies in the technology sector, including Sony Group Corporation and Samsung Electronics Co., Ltd. His experience in these organizations has allowed him to develop and refine his innovative ideas in the realm of artificial intelligence and machine learning.
Collaborations
Throughout his career, Brijraj has collaborated with talented individuals such as Raksha Jalan and Prosenjit Biswas. These partnerships have contributed to the advancement of his projects and the successful implementation of his inventions.
Conclusion
Brijraj Singh stands out as an influential inventor in the fields of deep learning and recommendation systems. His patents reflect his commitment to innovation and his ability to address complex challenges in technology. His contributions are likely to have a lasting impact on the industry.