This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Wei Zuo: Innovator in Machine Learning Systems
Introduction: Wei Zuo is a prominent inventor based in Campbell, California. He has made significant contributions to the field of machine learning, particularly in the development of systems that optimize the distribution of computational tasks across various accelerators. His innovative approach addresses the challenges posed by differing memory and processing capabilities in computing systems.
Latest Patents: Wei Zuo holds a patent for "Systems and methods for distributing layers of special mixture-of-experts machine learning models." This patent describes computing systems equipped with different accelerators, where one set has greater memory capabilities while another set excels in processing capabilities. The invention allows for the efficient distribution of machine learning model layers, ensuring that dense layers are allocated to memory-rich accelerators and sparse layers to those with superior processing power. He has 1 patent to his name.
Career Highlights: Wei Zuo is currently employed at Microsoft Technology Licensing, LLC, where he continues to push the boundaries of machine learning technology. His work has been instrumental in advancing the capabilities of machine learning systems, making them more efficient and effective.
Collaborations: Wei has collaborated with talented individuals such as Devangkumar Rameshbhai Patel and Yuan Yu, contributing to a dynamic and innovative work environment.
Conclusion: Wei Zuo's contributions to machine learning and his innovative patent demonstrate his commitment to advancing technology in this critical field. His work at Microsoft Technology Licensing, LLC, along with his collaborations, positions him as a key figure in the ongoing evolution of machine learning systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
