Daejeon, South Korea

Joo-Hyun Lee

USPTO Granted Patents = 2 

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2023

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2 patents (USPTO):Explore Patents

Title: Innovations of Joo-Hyun Lee

Introduction

Joo-Hyun Lee is a prominent inventor based in Daejeon, South Korea. He has made significant contributions to the field of artificial intelligence and processing technologies. With a total of two patents to his name, Lee is recognized for his innovative approaches to enhancing deep-learning operations.

Latest Patents

One of Joo-Hyun Lee's latest patents is an artificial intelligence processor and method of processing deep-learning operations using the same. This AI processor features multiple NVM AI cores that perform essential unit operations required for deep-learning tasks based on data stored in non-volatile memory (NVM). Additionally, it includes SRAM for storing some results of these operations and an AI core for executing accumulation operations on the results. Another notable patent is for a heterogeneous system based on unified virtual memory. This system comprises a host that compiles a kernel program from user application source code into binary form and delivers it to a heterogeneous system architecture device. This device processes the kernel program's operations in parallel using various types of processing elements, all while sharing unified virtual memory between the host and the device.

Career Highlights

Joo-Hyun Lee is affiliated with the Electronics and Telecommunications Research Institute, where he continues to push the boundaries of technology. His work focuses on developing advanced systems that leverage artificial intelligence for improved processing capabilities.

Collaborations

Some of his notable coworkers include Jin-Ho Han and Young-Su Kwon, who contribute to the innovative environment at the Electronics and Telecommunications Research Institute.

Conclusion

Joo-Hyun Lee's contributions to artificial intelligence and processing technologies highlight his role as a leading inventor in the field. His patents reflect a commitment to advancing technology and improving deep-learning operations.

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