Taobo Wang

Title: Innovations of Taobo Wang in Machine Learning

Introduction

Taobo Wang is a notable inventor based in Beijing, China. He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on enhancing the efficiency and accuracy of machine learning models.

Latest Patents

Taobo Wang holds a patent titled "Determining quantization scale factors for layers of a machine learning model." This patent outlines approaches for determining quantization scale factors by generating a population of chromosomes. Each chromosome consists of multiple genes, with each gene specifying a scale factor associated with a layer of a machine learning model. The evaluation process involves quantizing floating point weights and values of a representative dataset using the scale factors of the chromosome. This results in quantized weights and a quantized dataset, which are then processed according to the machine learning model. The accuracy of the results produced is gauged, and the population of chromosomes is evolved based on the termination criteria.

Career Highlights

Taobo Wang is currently employed at Xilinx, Inc., where he continues to develop innovative solutions in the realm of machine learning. His expertise and contributions have positioned him as a valuable asset in his field.

Collaborations

Some of his coworkers include Shaoxia Fang and Jiangsha Ma, who collaborate with him on various projects within the company.

Conclusion

Taobo Wang's innovative work in machine learning, particularly through his patent on quantization scale factors, showcases his commitment to advancing technology. His contributions are significant in enhancing the performance of machine learning models.