This inventor holds 1 USPTO granted patent and 10 published patent applications. Top assignee: Qualcomm Incorporated. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Junyoung Park - Innovator in Machine Learning Caching
Introduction
Junyoung Park is a prominent inventor based in Palo Alto, CA. He has made significant contributions to the field of machine learning, particularly in the area of efficient caching techniques. His innovative approach has the potential to enhance the performance of generative machine learning models.
Latest Patents
Junyoung Park holds a patent titled "Efficient machine learning caching via attention output-based token eviction." This patent outlines techniques and apparatus for machine learning. In his method, an input prompt comprising a set of tokens is accessed as input to a generative machine learning model. A first key tensor and a first value tensor are generated for a first token of the set of tokens, and these tensors are stored in memory. A first retention score is generated for the first token based on the first key tensor, the first value tensor, and a second token of the set of tokens. The first key tensor and the first value tensor are evicted from memory when it is determined that the first retention score is the lowest retention score of the memory. This innovative approach aims to optimize the efficiency of machine learning processes.
Career Highlights
Junyoung Park is currently employed at Qualcomm Incorporated, a leading technology company known for its advancements in telecommunications and semiconductor technology. His work at Qualcomm has allowed him to explore and develop cutting-edge technologies in machine learning.
Collaborations
Some of Junyoung Park's notable coworkers include Raghavv Goel and Mukul Gagrani. Their collaboration contributes to the innovative environment at Qualcomm, fostering advancements in technology and machine learning.
Conclusion
Junyoung Park is a key figure in the realm of machine learning innovations, with a focus on efficient caching techniques. His contributions through patents and collaboration with talented colleagues at Qualcomm highlight his commitment to advancing technology.