Company Filing History:
Years Active: 2019-2021
Title: Ziting Yu: Innovator in Artificial Neural Networks
Introduction
Ziting Yu is a prominent inventor based in Toronto, Canada. He has made significant contributions to the field of artificial intelligence, particularly in the area of database query optimization. With a total of 4 patents to his name, Yu's work is paving the way for advancements in data processing and analysis.
Latest Patents
One of Ziting Yu's latest patents focuses on "Estimating cardinality selectivity utilizing artificial neural networks." This innovative approach involves receiving a database query that comprises predicates operating on database columns. The query is determined to include strict operators. Yu's invention defines an upper bound neural network for calculating an adjacent upper bound and a lower bound neural network for calculating an adjacent lower bound. These networks are trained using selected values from data associated with the database query. Adjustments are made by passing in expected values based on errors found in expressions. The completion of initial training allows for the calculation of adjacent lower and upper bounds for the database columns.
Career Highlights
Ziting Yu is currently employed at International Business Machines Corporation (IBM), where he continues to innovate and develop cutting-edge technologies. His work at IBM has positioned him as a key player in the realm of artificial intelligence and database management.
Collaborations
Throughout his career, Ziting Yu has collaborated with notable colleagues, including Vincent Corvinelli and Huaxin Liu. These partnerships have fostered a collaborative environment that enhances the development of innovative solutions in technology.
Conclusion
Ziting Yu's contributions to artificial neural networks and database query optimization are noteworthy. His patents reflect a deep understanding of complex data systems and a commitment to advancing technology. As he continues his work at IBM, the impact of his innovations will likely resonate throughout the industry for years to come.
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