This inventor holds 1 USPTO granted patent and 5 published patent applications. Top assignee: Beijing Didi Infinity Technology and Development Co., Ltd.. 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: Zetian Ni: Innovator in Machine Learning for Ride-Sharing
Introduction
Zetian Ni is a prominent inventor based in Sunnyvale, CA, known for his contributions to the field of machine learning and ride-sharing technology. His innovative approach has led to the development of techniques that enhance the efficiency of ride-sharing services.
Latest Patents
Zetian Ni holds a patent for a groundbreaking invention titled "Machine learning-based real-time guest rider identification." This patent describes techniques for automatically detecting when a ride requester has requested a ride-share ride on behalf of a guest rider. The invention utilizes chat logs between the driver and ride requester to identify whether a ride has been requested for a guest. By training an artificial intelligence model, the system can predict potential guest rider behavior, thereby improving the overall ride-sharing experience.
Career Highlights
Zetian Ni is currently employed at Beijing Didi Infinity Technology and Development Co., Ltd., where he continues to push the boundaries of technology in the ride-sharing industry. His work focuses on integrating machine learning with real-time data to enhance user experience and operational efficiency.
Collaborations
Zetian has collaborated with notable colleagues, including Conghui Fu and Zihan Yi, who share his vision for advancing technology in the transportation sector.
Conclusion
Zetian Ni's innovative contributions to machine learning and ride-sharing technology exemplify the potential of artificial intelligence in transforming everyday services. His work not only enhances the efficiency of ride-sharing but also sets a precedent for future innovations in the industry.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
