This inventor holds 1 USPTO granted patent. Top assignee: Royal Bank of Canada. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: Kry Yik Chau Lui: Innovator in Machine Learning Architecture
Introduction
Kry Yik Chau Lui is a notable inventor based in Toronto, Canada. He has made significant contributions to the field of machine learning, particularly in developing systems that enhance the robustness of deep neural networks. His innovative approach focuses on adversarial attack defense, which is crucial in today's technology landscape.
Latest Patents
Kry Yik Chau Lui holds a patent for a "System and method for machine learning architecture with adversarial attack defense." This patent describes a platform for training deep neural networks using push-to-corner preprocessing and adversarial training. The training engine he developed adds a preprocessing layer before the input data is fed into a deep neural network, effectively pushing the input data further to the corner of its domain. This innovation aims to improve the performance and security of machine learning models.
Career Highlights
Kry Yik Chau Lui is currently employed at the Royal Bank of Canada, where he applies his expertise in machine learning to enhance financial technologies. His work is instrumental in developing solutions that leverage artificial intelligence to improve banking services and customer experiences.
Collaborations
Kry has collaborated with talented individuals such as Weiguang Ding and Luyu Wang. These partnerships have fostered a creative environment that encourages innovation and the sharing of ideas in the field of machine learning.
Conclusion
Kry Yik Chau Lui is a pioneering inventor whose work in machine learning architecture is shaping the future of technology. His contributions, particularly in adversarial attack defense, are vital for the advancement of secure and efficient deep learning systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
