This inventor holds 3 USPTO granted patents and 6 published patent applications and 2 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: Jack Liu - Innovator in Neural Network Accelerators
Introduction
Jack Liu is a prominent inventor based in Saratoga, CA (US). He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on enhancing the efficiency of processing sequential inputs using advanced hardware accelerators.
Latest Patents
Jack Liu holds a patent titled "Processing sequential inputs using neural network accelerators." This invention describes a hardware accelerator that can store input data for each processing time step in multiple memory storage areas. The accelerator is designed to facilitate the processing of sequential inputs to a machine learning model. It utilizes a counter to identify the current processing time step and determines the appropriate memory storage areas for accessing input data. This innovative approach allows for efficient data handling and processing, significantly improving the performance of machine learning applications.
Career Highlights
Jack Liu is currently employed at Google Inc., where he continues to work on cutting-edge technologies in the field of artificial intelligence and machine learning. His expertise in hardware acceleration has positioned him as a valuable asset to the company.
Collaborations
Jack collaborates with talented individuals in his field, including his coworker Dong Hyuk Woo. Together, they contribute to advancements in technology and innovation at Google Inc.
Conclusion
Jack Liu's work in developing neural network accelerators showcases his commitment to innovation in machine learning. His patent reflects a significant advancement in the efficiency of processing sequential inputs, which is crucial for the future of artificial intelligence.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
