This inventor holds 3 USPTO granted patents. Top assignee: Uber Technologies, Inc.. Active years: 2021-2026.
Company Filing History:
Years Active: 2021-2026
Title: The Innovations of Yunke Tang
Introduction
Yunke Tang is an accomplished inventor based in San Francisco, CA. He has made significant contributions to the field of computing, particularly in enhancing user experience through innovative technologies. With a total of 3 patents, his work focuses on reducing network latency and improving application services.
Latest Patents
One of Yunke Tang's latest patents is a computing system that implements local context resolution and evaluation for network latency reduction. This system is designed to receive contextual data corresponding to a particular user and execute context resolution and constraint evaluation processes. By prioritizing local data acquisition and/or derivation, the system classifies users into one or more groups, ultimately reducing network latency. Based on the classified group(s), the computing system can provide targeted, group-specific content through an executing application on the user's device, thereby enhancing the user experience with the application service.
Career Highlights
Yunke Tang is currently employed at Uber Technologies, Inc., where he continues to innovate and develop cutting-edge technologies. His work at Uber has allowed him to apply his expertise in computing systems to real-world applications, contributing to the company's mission of improving transportation and logistics through technology.
Collaborations
Yunke has collaborated with notable coworkers, including Khalid Karim and Egor Gryaznov. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of innovative solutions.
Conclusion
Yunke Tang's contributions to the field of computing through his patents and work at Uber Technologies, Inc. highlight his commitment to innovation and improving user experiences. His advancements in network latency reduction are paving the way for more efficient computing systems.
