This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Dst Technologies, Inc.. 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: Zangnan Yu: Innovator in Machine Learning Applications
Introduction
Zangnan Yu is an accomplished inventor based in Oakland, CA. He has made significant contributions to the field of machine learning, particularly in the area of automated form reading. His innovative approach has the potential to enhance the efficiency of data extraction from handwritten forms.
Latest Patents
Zangnan Yu holds a patent for a groundbreaking invention titled "Identifying location of shreds on an imaged form." This patent focuses on a machine learning application designed to automatically read filled-in forms. The process involves several steps, including form identification, extraction of important parts as image data (referred to as shreds), and interpretation of these shreds. The techniques disclosed in this patent aim to train a machine learning system to recognize and extract relevant portions of filled-in forms, thereby streamlining the data processing workflow.
Career Highlights
Zangnan Yu is currently employed at Dst Technologies, Inc., where he continues to develop innovative solutions in machine learning. His work has garnered attention for its practical applications in automating data extraction processes, which can significantly reduce manual effort and improve accuracy.
Collaborations
Zangnan has collaborated with notable colleagues, including Jacob Abernethy and Ramesh Sridharan. These partnerships have contributed to the advancement of his research and the successful implementation of his inventions.
Conclusion
Zangnan Yu is a prominent figure in the field of machine learning, with a focus on automating the reading of handwritten forms. His patent and ongoing work at Dst Technologies, Inc. highlight his commitment to innovation and efficiency in data processing.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile