Company Filing History:
Years Active: 2019-2024
Title: The Innovations of Adelbert Chang
Introduction
Adelbert Chang is a prominent inventor based in Cupertino, California. He has made significant contributions to the field of machine learning, holding a total of six patents. His work focuses on optimizing machine learning models, which is crucial for enhancing the performance of various applications.
Latest Patents
One of Adelbert Chang's latest patents involves a facility for optimizing machine learning models. This facility is designed to obtain a description of a machine learning model and a hardware target for that model. It also gathers optimization result data from a repository of optimization results. The facility then optimizes the machine learning model for the specified hardware target based on the collected optimization result data. This innovative approach aims to improve the efficiency and effectiveness of machine learning applications.
Career Highlights
Throughout his career, Adelbert has worked with notable companies such as Octoml, Inc. and Box Limited. His experience in these organizations has allowed him to refine his skills and contribute to cutting-edge projects in the tech industry.
Collaborations
Adelbert has collaborated with talented individuals, including Matthew Welsh and Jason Knight. These partnerships have fostered a creative environment that encourages innovation and the development of new ideas.
Conclusion
Adelbert Chang's work in optimizing machine learning models showcases his dedication to advancing technology. His patents and collaborations reflect his commitment to innovation in the field.