This inventor holds 1 USPTO granted patent. Top assignee: Meta Platforms, Inc.. Active years: 2021.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2021
Title: Christoph Herman Schied: Innovator in Graphics Processing Technology
Introduction
Christoph Herman Schied is a notable inventor based in Redmond, WA (US). He has made significant contributions to the field of graphics processing technology. His innovative work focuses on enhancing the capabilities of graphics processing chips through advanced machine-learning techniques.
Latest Patents
Schied holds a patent for a graphics processing chip with machine-learning based shader. This invention relates to a graphics processing chip designed for rendering computer graphics. The chip includes a controller that manages operations in accordance with a graphics-rendering pipeline. These operations encompass geometry-processing, rasterization, and shading. Additionally, the chip features programmable memory components that store a machine-learning model to perform shading operations. It also includes multiple processing units that can be selectively utilized for these operations, along with output memory for storing generated image data. Schied's patent is a testament to his innovative approach in integrating machine learning with graphics technology, and he holds 1 patent.
Career Highlights
Christoph Schied is currently employed at Meta Platforms, Inc., where he continues to push the boundaries of graphics processing technology. His work at Meta has allowed him to collaborate with leading experts in the field and contribute to cutting-edge projects.
Collaborations
One of his notable coworkers is Anton S Kaplanyan, with whom he has likely shared insights and expertise in graphics processing and machine learning.
Conclusion
Christoph Herman Schied is a pioneering inventor whose work in graphics processing technology exemplifies the integration of machine learning into practical applications. His contributions are shaping the future of computer graphics and enhancing user experiences across various platforms.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
