This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Tiandy Technologies Co., Ltd.. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: Lin Dai - Innovator in Neural Network-Based Feature Compression
Introduction
Lin Dai is a prominent inventor based in Tianjin, China. He has made significant contributions to the field of computer science, particularly in the development of algorithms that enhance data processing capabilities. His innovative work focuses on utilizing neural networks for feature compression, which has applications in various technological domains.
Latest Patents
Lin Dai holds a patent for a "Computer program product with feature compression algorithm based on neural network." This patent outlines a comprehensive method that includes several steps: image data preparation, feature data acquisition, neural network model setup, model iteration training, parameter model storage, and feature compression. The algorithm he developed not only compresses original feature data but also retains its semantic features, allowing for higher-dimensional feature abstraction. The compressed data can be directly utilized, showcasing the efficiency and effectiveness of his approach.
Career Highlights
Lin Dai is currently employed at Tiandy Technologies Co., Ltd., where he continues to innovate and contribute to advancements in technology. His work has positioned him as a key figure in the field of neural networks and data compression.
Collaborations
Lin collaborates with talented individuals such as Jianli Zhu and Chao Xue, who contribute to the innovative environment at Tiandy Technologies Co., Ltd. Their combined expertise fosters a culture of creativity and technological advancement.
Conclusion
Lin Dai's contributions to the field of neural network-based feature compression highlight his role as an influential inventor. His innovative algorithms pave the way for advancements in data processing and recognition technologies.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile