Daejeon, South Korea

Youngmok Ha

This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Electronics and Telecommunications Research Institute. Active years: 2026.

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Youngmok Ha: Innovator in Neuromorphic Computing

Introduction

Youngmok Ha is a prominent inventor based in Daejeon, South Korea. He has made significant contributions to the field of neuromorphic computing, which aims to mimic the neural structure and functioning of the human brain. His innovative work has led to the development of a unique computing apparatus that enhances the processing capabilities of large input neurons.

Latest Patents

Youngmok Ha holds a patent for a "Crossbar-based neuromorphic computing apparatus capable of processing large input neurons and method using the same." This neuromorphic computing method involves comparing the maximum number of axons in a hardware-based node's crossbar with the number of input neurons. When the number of input neurons exceeds the maximum number of axons, the method groups some input neurons while considering the maximum number of axons. It then generates a spike output for the grouped neurons and processes this output along with the remaining input neurons.

Career Highlights

Youngmok Ha is affiliated with the Electronics and Telecommunications Research Institute, where he continues to push the boundaries of technology in neuromorphic computing. His work is instrumental in advancing the capabilities of artificial intelligence and machine learning systems.

Collaborations

He collaborates with talented colleagues, including Yongjoo Kim and Eunji Pak, who contribute to the innovative projects at the institute.

Conclusion

Youngmok Ha's contributions to neuromorphic computing exemplify the potential of innovative technologies in transforming the way we process information. His work not only enhances computational efficiency but also paves the way for future advancements in artificial intelligence.

Profile summary based on public USPTO records.
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