Jiangsha Ma

Title: Jiangsha Ma: Innovator in Machine Learning Model Optimization

Introduction

Jiangsha Ma is a prominent inventor based in Beijing, China. He has made significant contributions to the field of machine learning, particularly in optimizing model performance through innovative techniques. His work is characterized by a focus on quantization methods that enhance the efficiency of machine learning models.

Latest Patents

Jiangsha Ma 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, which leads to the production of quantized weights and a quantized dataset. The accuracy of the results produced by processing the quantized dataset is gauged, and the population of chromosomes is evolved based on the termination criteria.

Career Highlights

Jiangsha Ma is currently employed at Xilinx, Inc., where he continues to push the boundaries of machine learning technology. His innovative approaches have garnered attention in the tech community, and he is recognized for his expertise in model optimization.

Collaborations

Some of Jiangsha Ma's notable coworkers include Shaoxia Fang and Xi Wang, who contribute to the collaborative environment at Xilinx, Inc. Their combined efforts enhance the research and development of advanced machine learning solutions.

Conclusion

Jiangsha Ma's work in determining quantization scale factors for machine learning models exemplifies the innovative spirit of modern technology. His contributions are paving the way for more efficient and effective machine learning applications.