Company Filing History:
Years Active: 2025
Title: Enshan Yang: Innovator in Neural Network Architecture
Introduction
Enshan Yang is a prominent inventor based in Beijing, China. He has made significant contributions to the field of neural networks, particularly through his innovative patent that enhances the performance of convolutional neural networks.
Latest Patents
Enshan Yang holds a patent for a "Neural network architecture with high bandwidth memory (HBM)." This system integrates a high bandwidth memory with a convolutional neural network engine. The HBM consists of a virtual bank portion designed to store feature map data and a system memory portion that facilitates data exchanges with a host. The CNN engine features a convolutional unit for executing convolutional layer instructions, a depthwise convolutional unit for depthwise layer instructions, and a first on-chip buffer. This buffer is responsible for receiving and storing feature map data or data results from the convolutional unit, and it sends this information to the depthwise convolutional unit for further processing. Enshan Yang's innovative approach has the potential to significantly improve the efficiency of neural network operations.
Career Highlights
Enshan Yang is currently employed at Xilinx, Inc., where he continues to develop cutting-edge technologies in the field of artificial intelligence and machine learning. His work at Xilinx has positioned him as a key player in advancing neural network architectures.
Collaborations
Enshan Yang collaborates with talented individuals such as Xianpei Zheng and Zhongmin Chen. Their combined expertise contributes to the innovative projects at Xilinx, fostering an environment of creativity and technological advancement.
Conclusion
Enshan Yang's contributions to neural network architecture exemplify the impact of innovation in technology. His patent for a high bandwidth memory system demonstrates his commitment to enhancing the capabilities of artificial intelligence. Through his work at Xilinx, he continues to push the boundaries of what is possible in the field.