This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Kneron, Inc.. Active years: 2019-2020.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2019-2020
Title: Innovations by Ming-Zhe Jiang
Introduction
Ming-Zhe Jiang is a notable inventor based in San Diego, CA. He has made significant contributions to the field of technology, particularly in image processing and convolution operations. With a total of 2 patents, his work showcases innovative solutions that enhance computational efficiency.
Latest Patents
Ming-Zhe Jiang's latest patents include an "Image Depth Decoder" and a "Method of Compressing Convolution Parameters, Convolution Operation Chip and System." The image depth decoder features an NIR image buffer, a reference image ring buffer, and a pattern matching engine. This technology allows for depth computation based on NIR images and reference images, resulting in accurate depth value outputs. The method for compressing convolution parameters involves determining a range of original parameters, setting an effective bit number, and calculating differential values to create compressed convolution parameters for efficient processing.
Career Highlights
Ming-Zhe Jiang is currently employed at Kneron, Inc., where he continues to develop innovative technologies. His work at Kneron focuses on enhancing machine learning and artificial intelligence applications through advanced image processing techniques.
Collaborations
Some of his notable coworkers include Yuan Du and Li Du, who contribute to the collaborative environment at Kneron, Inc. Their combined expertise fosters innovation and drives the development of cutting-edge technologies.
Conclusion
Ming-Zhe Jiang's contributions to technology through his patents and work at Kneron, Inc. highlight his role as a significant inventor in the field. His innovative solutions continue to impact the industry positively.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile