Pohang, South Korea

Dongmin Kim

This inventor holds 1 USPTO granted patent. Top assignee: Pohang University of Science and Technology Foundation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Dongmin Kim. Retrieved from https://idiyas.com/inventor/dongmin-kim-gqbfg7lx

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations of Dongmin Kim in Artificial Neural Networks

Introduction: Dongmin Kim is an accomplished inventor based in Pohang, South Korea. He has made significant contributions to the field of artificial intelligence, particularly in the development of hardware-based solutions for neural networks. His innovative work focuses on enhancing the efficiency and effectiveness of artificial neural networks through novel apparatus designs.

Latest Patents: Dongmin Kim holds a patent for an "Apparatus for implementing hardware-based dropout for artificial neural network using selector element and neural network circuit system using the same." This invention discloses a system that includes a switch unit on the bit line of a hardware-based artificial neural network. The switch unit allows a target current to selectively flow to a predetermined neuron or ground node. Additionally, the driving unit features a selector element that is controlled based on the relationship between an applied driving voltage and a threshold voltage.

Career Highlights: Dongmin Kim is associated with the Pohang University of Science and Technology Foundation, where he continues to advance research in artificial intelligence and neural networks. His work is pivotal in bridging the gap between theoretical research and practical applications in the field.

Conclusion: Dongmin Kim's innovative contributions to artificial neural networks exemplify the potential of hardware-based solutions in enhancing AI technologies. His patent reflects a significant step forward in the implementation of efficient neural network systems.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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