This inventor holds 5 USPTO granted patents and 9 published patent applications. Top assignee: Nvidia Corporation. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Michael Ranzinger: Innovator in Neural Network Technologies
Introduction
Michael Ranzinger is a prominent inventor based in Boulder, CO (US). He has made significant contributions to the field of neural networks, holding a total of 5 patents. His work focuses on advancing image processing technologies through innovative techniques.
Latest Patents
Among his latest patents is "Image blending using one or more neural networks." This invention presents apparatuses, systems, and techniques designed to reconstruct images by utilizing circuits that adjust pixel blending weights through neural networks. Another notable patent is "Partial neural network activation," which outlines methods for performing inferencing with neural networks. This patent emphasizes the selection of specific portions of neural networks based on the information to be processed.
Career Highlights
Michael Ranzinger is currently employed at Nvidia Corporation, a leading company in graphics processing and artificial intelligence technologies. His role at Nvidia allows him to work on cutting-edge projects that push the boundaries of what is possible with neural networks.
Collaborations
Throughout his career, Ranzinger has collaborated with talented individuals such as Jorge Albericio Latorre and Andrew J Tao. These collaborations have contributed to the development of innovative solutions in the field of neural networks.
Conclusion
Michael Ranzinger's work in neural network technologies exemplifies the spirit of innovation. His patents and contributions continue to influence advancements in image processing and artificial intelligence.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
