Michael Norman

Title: Michael Norman: Innovator in Data Center Job Scheduling

Introduction

Michael Norman is an accomplished inventor based in Redwood City, CA. He has made significant contributions to the field of data center operations through his innovative approach to job scheduling using machine learning. His work is particularly relevant in today's technology-driven world, where efficiency and optimization are paramount.

Latest Patents

Michael holds a patent for a method titled "Data center job scheduling using machine learning." This patent describes a process that involves receiving a first condition related to an operation at a data center. The method utilizes a processing device to analyze this condition, which pertains to a specific location within the data center. By providing this condition as input to a machine learning model, the method employs reinforcement learning techniques to determine a final location for the operation that is closer to a target than the initial parameter value.

Career Highlights

Michael is currently employed at Nvidia Corporation, a leading company in the field of graphics processing and artificial intelligence. His work at Nvidia allows him to leverage cutting-edge technology to enhance data center operations. With a focus on machine learning, he is at the forefront of innovations that improve efficiency in data management.

Collaborations

Michael collaborates with talented individuals such as Siddha Ganju and Elad Mentovich. These partnerships foster a creative environment that encourages the development of groundbreaking solutions in the tech industry.

Conclusion

Michael Norman's contributions to data center job scheduling through machine learning exemplify the impact of innovation in technology. His patent and work at Nvidia Corporation highlight the importance of optimizing operations in a rapidly evolving digital landscape.