This inventor holds 3 USPTO granted patents and 7 published patent applications and 3 EPO patents. Top assignee: Google Inc.. Active years: 2024-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024-2026
Title: Suyog Gupta: Innovator in Machine Learning Hardware
Introduction
Suyog Gupta is a prominent inventor based in Sunnyvale, CA. He has made significant contributions to the field of machine learning, particularly in hardware acceleration. With a total of 3 patents, Gupta's work focuses on enhancing the efficiency and performance of machine learning systems.
Latest Patents
Gupta's latest patents include innovative technologies that address critical challenges in machine learning hardware. One of his patents, titled "Preemption in a Machine Learning Hardware Accelerator," describes a system and method for preempting a long-running process with a higher priority process in a machine learning system. This technology is particularly relevant for hardware accelerators, which can be multi-chip systems including application-specific integrated circuits (ASICs) designed for machine learning operations.
Another notable patent is "Multi-Partition Memory Sharing with Multiple Components." This invention outlines a method for optimizing memory usage on an integrated circuit (IC) chip. By allowing components to share memory resources, Gupta's design enhances performance while reducing costs associated with dedicated memory for each component. The logic circuitry in this system selectively separates memory into multiple partitions, adjusting capacities to meet fluctuating demands.
Career Highlights
Suyog Gupta is currently employed at Google Inc., where he continues to push the boundaries of innovation in machine learning technologies. His work has garnered attention for its practical applications and potential to revolutionize the industry.
Collaborations
Gupta collaborates with talented individuals such as Ravi Narayanaswami and Temitayo Fadelu. Their combined expertise contributes to the advancement of machine learning hardware solutions.
Conclusion
Suyog Gupta's contributions to machine learning hardware through his patents and work at Google Inc. highlight his role as a key innovator in the field. His inventions are paving the way for more efficient and powerful machine learning systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
