San Carlos, CA, United States of America

Jie Jacquot

This inventor holds 8 USPTO granted patents and 1 published patent application. Top assignee: X Development LLC. Active years: 2022-2026.

USPTO Granted Patents = 8 

% Patents Active = 87.5

Average Co-Inventor Count = 5.4

ph-index = 2

Forward Citations = 14(Granted Patents)


Company Filing History:


Years Active: 2022-2026

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8 patents (USPTO):Explore Patents

Title: Jie Jacquot: Innovator in Hyperspectral Imaging and Machine Learning

Introduction

Jie Jacquot is a prominent inventor based in San Carlos, CA (US), known for his contributions to the fields of hyperspectral imaging and machine learning. With a total of 8 patents to his name, Jacquot has made significant advancements in image segmentation and classification technologies.

Latest Patents

Jacquot's latest patents include innovative methods and systems for improved image segmentation using hyperspectral imaging. One of his notable inventions involves a system that obtains image data of a hyperspectral image, which comprises data for multiple wavelength bands. This system accesses stored segmentation profile data for specific object types, allowing it to segment image data into multiple regions based on predetermined subsets of wavelength bands. The output data indicates the segmented regions and their respective types.

Another significant patent focuses on machine learning classification based on separate processing of multiple views. This system obtains image data for various images showing different views of an object. A machine learning model generates separate outputs for each image, which are then combined to determine a predicted characteristic of the object. This innovative approach enhances the accuracy of object classification.

Career Highlights

Jie Jacquot is currently employed at X Development LLC, where he continues to push the boundaries of technology through his research and inventions. His work has garnered attention for its practical applications in various industries, particularly in enhancing imaging techniques and machine learning processes.

Collaborations

Jacquot collaborates with talented individuals such as Vadim Tschernezki and Hongxu Ma, contributing to a dynamic and innovative work environment. Their combined expertise fosters the development of cutting-edge technologies that address complex challenges in imaging and data analysis.

Conclusion

Jie Jacquot's contributions to hyperspectral imaging and machine learning exemplify the impact of innovative thinking in technology. His patents reflect a commitment to advancing these fields, making significant strides in image processing and classification.

Profile summary based on public USPTO records.
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