This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Nvidia Corporation. Active years: 2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023
Title: Luyang Zhu: Innovator in Machine Learning Techniques
Introduction
Luyang Zhu is a prominent inventor based in Seattle, WA (US). He has made significant contributions to the field of machine learning, particularly in predicting depth information from image data. His innovative work has implications for various applications in technology and imaging.
Latest Patents
Luyang Zhu holds a patent for "Machine learning techniques for predicting depth information in image data." This patent encompasses apparatuses, systems, and techniques designed to estimate or predict depth information for image data. In at least one embodiment, the depth information is predicted based on color information and geometry information associated with an image. This advancement showcases his expertise in integrating machine learning with visual data processing.
Career Highlights
Luyang Zhu is currently employed at Nvidia Corporation, a leading company in graphics processing and artificial intelligence. His role at Nvidia allows him to work on cutting-edge technologies that push the boundaries of machine learning and computer vision.
Collaborations
Throughout his career, Luyang has collaborated with notable colleagues, including Arsalan Mousavian and Yu Xiang. These collaborations have fostered an environment of innovation and creativity, contributing to the development of advanced technologies in their field.
Conclusion
Luyang Zhu's work in machine learning and depth information prediction exemplifies the impact of innovative thinking in technology. His contributions continue to shape the future of imaging and artificial intelligence.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
