This inventor holds 3 USPTO granted patents and 1 published patent application. Top assignees: Oracle International Corporation, Other. Active years: 2017-2019.
Company Filing History:

Years Active: 2017-2019
Title: Yi Sun Huang: Innovator in Machine Learning and Synchronization Annotation
Introduction
Yi Sun Huang is a prominent inventor based in Cupertino, CA (US). He has made significant contributions to the fields of machine learning and software development, holding a total of 3 patents. His innovative work focuses on enhancing point of sale systems and improving multi-threaded application synchronization.
Latest Patents
Huang's latest patents include a "Machine learning system, method, and program product for point of sale systems." This invention involves a method and program product that scans for identification means of an object, captures an image, and communicates the identification and image to a training system. The training system is designed to train a neural network to produce synaptic weights, which are then used to predict identifications from captured images. Another notable patent is the "Method and apparatus for synchronization annotation." This patent outlines methods for providing synchronization in multi-threaded applications by analyzing source files to identify synchronization annotations and generating code files for efficient execution.
Career Highlights
Throughout his career, Yi Sun Huang has worked with notable companies, including Oracle International Corporation. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in technology.
Collaborations
Huang has collaborated with talented individuals such as Joshua Huang and Jonathan J Huang. These partnerships have fostered a creative environment that has led to the development of groundbreaking technologies.
Conclusion
Yi Sun Huang's contributions to machine learning and software synchronization highlight his role as a key innovator in the tech industry. His patents reflect a commitment to advancing technology and improving system efficiencies.