This inventor holds 1 USPTO granted patent. Top assignee: Yonsei University. 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: Sung Jin Ahn: Inventor in Cache Memory Design
Introduction
Sung Jin Ahn is an inventor based in Seoul, South Korea. His patent work concerns the use of artificial intelligence to support cache memory design.
Latest Patents
Ahn is associated with 1 patent: “Method for Generating Training Data for Cache Memory Design Based on Artificial Intelligence and System Using Same.” The invention describes a method for generating training data for an AI model intended to automate the design of cache memory structures. It sets a reuse profile, selects reuse distances and load indices, updates the profile based on a real reuse distance, and then selects another reuse distance using the modified profile.
Career Highlights
Ahn is associated with Yonsei University. His patent reflects research into applying AI methods to computer architecture and cache memory design.
Collaborations
Ahn’s listed coworker is Do Hyeon Kim. Their shared patent work focuses on generating training data for AI-assisted cache memory design.
Conclusion
Sung Jin Ahn’s patent highlights an approach to training AI systems to help design cache memory structures, connecting machine learning with computer architecture research.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile