This inventor holds 2 USPTO granted patents. Top assignee: Zhejiang Lab. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Innovations of Inventor Li Yan
Introduction
Li Yan is a prominent inventor based in Hangzhou, China. He has made significant contributions to the field of technology, particularly in neural networks and image processing. With a total of 2 patents, his work showcases innovative methods that enhance communication and data processing in complex systems.
Latest Patents
Li Yan's latest patents include a "Communication method for multi-chip neural network algorithm based on FPGA main control." This invention designs various data frames and ensures effective communication of multi-layer data structures based on neural network algorithms. It accurately schedules the transmission and reception of data, playing a crucial role in managing the running status of chips and addressing errors.
Another notable patent is the "Method and system for overlapping sliding window segmentation of image based on FPGA." This method optimizes the use of on-chip BRAMs in FPGA to cache pixel data for segmented sub-images. It allows for efficient data writing from on-chip BRAMs to off-chip DDR memory, enhancing the performance of image segmentation processes.
Career Highlights
Li Yan is currently employed at Zhejiang Lab, where he continues to push the boundaries of technology through his innovative research and development efforts. His work has garnered attention for its practical applications in various fields, particularly in artificial intelligence and image processing.
Collaborations
Li Yan collaborates with talented individuals such as Tang Hu and Xiao Yu, who contribute to his projects and research initiatives. Their combined expertise fosters a creative environment that drives innovation.
Conclusion
Li Yan's contributions to technology through his patents and collaborative efforts highlight his role as a leading inventor in the field. His work not only advances the understanding of neural networks and image processing but also paves the way for future innovations.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile