This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Groq, Inc.. 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: Pao-Sheng Chou: Innovator in AI and Graph Partitioning
Introduction
Pao-Sheng Chou is a notable inventor based in Toronto, Canada. He has made significant contributions to the field of artificial intelligence, particularly in the area of graph partitioning for deep learning applications. His innovative work has led to the development of a patent that enhances the efficiency of AI program execution.
Latest Patents
Pao-Sheng Chou holds a patent titled "Graph partitioning and implementation of large models on tensor streaming processors." This patent describes a graph partitioning compiler that partitions an AI program or model for execution on multiple tensor streaming processor (TSP) modules. This technology is specifically designed to accelerate deep learning workloads, showcasing Chou's commitment to advancing AI capabilities.
Career Highlights
Chou is currently employed at Groq, Inc., a company known for its cutting-edge technology in AI and machine learning. His role at Groq allows him to work on innovative projects that push the boundaries of what is possible in the field of artificial intelligence.
Collaborations
Throughout his career, Pao-Sheng Chou has collaborated with talented individuals such as Kyeong Mo Kang and Yuxi Cai. These collaborations have fostered an environment of creativity and innovation, leading to advancements in AI technologies.
Conclusion
Pao-Sheng Chou is a prominent figure in the realm of artificial intelligence, with a focus on graph partitioning and deep learning. His contributions through patents and collaborations highlight his dedication to innovation in technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
