Quen-Zong Wu

Title: Quen-Zong Wu: Innovator in Symbol Recognition Technology

Introduction

Quen-Zong Wu is a notable inventor based in Lincroft, NJ (US). He has made significant contributions to the field of symbol recognition technology, holding a total of 2 patents. His work focuses on advanced methods and apparatuses that enhance the accuracy and efficiency of symbol recognition systems.

Latest Patents

Wu's latest patents include innovative methods for symbol recognition using multidimensional data samples. These patents describe a process where data samples representing micro-segments of a symbol are received from devices such as electronic pads. A preprocessor maps these micro-segments into cells of an array with multiple feature dimensions. The preprocessor assigns values to the cells based on the length of the associated micro-segment and its correspondence to the feature label of the cell. The cell values serve as inputs to various neural networks, each trained to identify different groups of symbols. A sorter determines which neural network should be utilized for recognizing the symbol, controlling a switching mechanism that communicates the cell values to the appropriate network.

Career Highlights

Throughout his career, Quen-Zong Wu has worked with prestigious organizations, including AT&T Bell Laboratories and Lucent Technologies Inc. His experience in these companies has allowed him to develop and refine his expertise in symbol recognition technologies.

Collaborations

Wu has collaborated with prominent figures in the field, including Yann Andre LeCun, further enhancing the impact of his work in the realm of artificial intelligence and machine learning.

Conclusion

Quen-Zong Wu's contributions to symbol recognition technology demonstrate his innovative spirit and dedication to advancing the field. His patents reflect a deep understanding of the complexities involved in recognizing symbols, paving the way for future advancements in this area.