This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: The Toronto-Dominion Bank. Active years: 2025.
Company Filing History:
Years Active: 2025
Title: Lu Shu - Innovator in Artificial Intelligence Explanations
Introduction
Lu Shu is an accomplished inventor based in Mount Laurel, NJ (US). He has made significant contributions to the field of artificial intelligence, particularly in generating adaptive textual explanations of AI outputs. His innovative work has led to the development of a patented technology that enhances the interpretability of AI processes.
Latest Patents
Lu Shu holds a patent for "Generating adaptive textual explanations of output predicted by trained artificial-intelligence processes." This patent describes computer-implemented processes that create adaptive textual explanations based on the outputs of trained AI systems. The technology involves generating an input dataset from first interaction data and applying a trained AI process to predict the likelihood of an event occurring in a specified temporal interval. Additionally, the system generates textual content that characterizes the predicted outcomes, enhancing the understanding of AI decisions.
Career Highlights
Lu Shu is currently employed at The Toronto-Dominion Bank, where he applies his expertise in artificial intelligence to improve banking processes. His work focuses on integrating advanced AI technologies to enhance customer experiences and operational efficiency. With a patent to his name, he stands out as a key figure in the intersection of finance and technology.
Collaborations
Lu Shu collaborates with talented individuals such as Yaqiao Luo and Jesse Cole Cresswell. These partnerships foster innovation and drive advancements in their respective fields.
Conclusion
Lu Shu's contributions to artificial intelligence and his patented technology exemplify the importance of innovation in today's digital landscape. His work not only enhances the functionality of AI systems but also improves their transparency and user understanding.
