This inventor holds 1 USPTO granted patent. Top assignee: Qualcomm Incorporated. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: Vaibhav Rajesh Gandhi: Innovator in Machine Learning Rendering
Introduction
Vaibhav Rajesh Gandhi is a prominent inventor based in San Diego, California. He has made significant contributions to the field of graphics processing through his innovative patent. His work focuses on enhancing image quality using advanced machine learning techniques.
Latest Patents
Vaibhav holds a patent titled "Methods and apparatus for machine learning rendering." This patent relates to methods and apparatus for graphics processing. The apparatus can obtain at least one input image that includes a plurality of pixels. Additionally, it determines shading information for each pixel in the input image. A shading map is generated based on this shading information, which allows for the creation of at least one output image. The quality of the output image can be enhanced using machine learning techniques, showcasing the potential of his invention in improving graphics rendering.
Career Highlights
Vaibhav is currently employed at Qualcomm Incorporated, a leading technology company known for its innovations in telecommunications and computing. His role at Qualcomm allows him to work on cutting-edge technologies that push the boundaries of graphics processing and machine learning.
Collaborations
Vaibhav collaborates with talented individuals in his field, including Alexei Vladimirovich Bourd and Reza Pourreza Shahri. These collaborations enhance the innovative environment in which he works, fostering creativity and technological advancement.
Conclusion
Vaibhav Rajesh Gandhi is a notable inventor whose work in machine learning rendering is paving the way for advancements in graphics processing. His contributions are significant in the realm of technology, and his patent reflects his commitment to innovation.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
