Tang Hu

Title: Innovations of Tang Hu in Neural Network Algorithms

Introduction

Tang Hu is an accomplished inventor based in Hangzhou, China. He has made significant contributions to the field of neural network algorithms, particularly through his innovative patents. With a total of 2 patents, his work focuses on enhancing communication methods and image processing techniques using FPGA technology.

Latest Patents

One of Tang Hu's latest patents is a "Communication method for multi-chip neural network algorithm based on FPGA main control." This invention designs various data frames, including original data frames, status frames, and computation result frames. It ensures effective communication of multi-layer data structures and accurately schedules the transmission and reception of data required by the main control and each chip in a multi-chip system. This method plays a crucial role in managing the running status of the chip and addressing errors.

Another notable patent is the "Method and system for overlapping sliding window segmentation of image based on FPGA." This invention determines the on-chip BRAMs storage resource cost of FPGA and utilizes them to cache pixel data of segmented sub-images in parallel. The method allows for efficient data writing from on-chip BRAMs to off-chip DDR memory, enhancing the performance of image segmentation.

Career Highlights

Tang Hu is currently employed at Zhejiang Lab, where he continues to push the boundaries of technology through his research and inventions. His work has garnered attention for its practical applications in the field of artificial intelligence and image processing.

Collaborations

Tang collaborates with talented individuals such as Songnan Ren and Xiangdi Li, contributing to a dynamic research environment that fosters innovation.

Conclusion

Tang Hu's contributions to neural network algorithms and image processing through his patents demonstrate his expertise and commitment to advancing technology. His work at Zhejiang Lab continues to influence the field and inspire future innovations.