This inventor holds 1 USPTO granted patent. Top assignee: Sap Se. Active years: 2020.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2020
Title: Zeyu Ni: Innovator in Network-Based Machine Learning Simulations
Introduction
Zeyu Ni is a prominent inventor based in Vancouver, Canada. He has made significant contributions to the field of machine learning, particularly in the area of network-based simulations. His innovative approach combines advanced algorithms with practical applications, showcasing his expertise and creativity in technology.
Latest Patents
Zeyu Ni holds a patent for a groundbreaking invention titled "Network Based Machine Learning Generated Simulations." This patent describes a computer-implemented method that involves sending code from a server to a client system across a network. The method includes a data request to retrieve data from a database, which is then processed using a machine learning algorithm. This process produces weights for various fields and a scoring data structure, enabling users to generate simulated values based on their selections.
Career Highlights
Zeyu Ni is currently employed at SAP SE, a leading global software company. His work at SAP SE focuses on leveraging machine learning to enhance simulation processes, contributing to the company's innovative solutions in enterprise software. His dedication to advancing technology is evident in his patent and ongoing projects.
Collaborations
Zeyu Ni collaborates with talented professionals in his field, including Sepideh Hashtroodi and Teresa Hsin Yi Su. These collaborations foster a creative environment that encourages the exchange of ideas and the development of cutting-edge technologies.
Conclusion
Zeyu Ni is a remarkable inventor whose work in network-based machine learning simulations is paving the way for future innovations. His contributions to the field demonstrate the potential of technology to transform industries and improve processes.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
