Incheon, South Korea

Yunju Choi

This inventor holds 2 USPTO granted patents. Top assignee: Seoul National University. Active years: 2020-2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yunju Choi. Retrieved from https://idiyas.com/inventor/yunju-choi

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


% Patents Active = 100.0

Average Co-Inventor Count = 3.4

ph-index = 1


Company Filing History:


Years Active: 2020-2022

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2 patents (USPTO):Explore Patents

Title: Yunju Choi: Innovator in Neural Technology

Introduction

Yunju Choi is a prominent inventor based in Incheon, South Korea. He has made significant contributions to the field of neural technology, holding 2 patents that showcase his innovative approach to deep belief networks and neuron devices.

Latest Patents

His latest patents include a "Neural array having multiple layers stacked therein for deep belief network and method for operating neural array." This invention features an array unit that includes synaptic devices, along with processing units that manage input and output signals effectively. Another notable patent is the "Neuron device and integrated circuit including neuron device," which comprises an input unit, a synapse unit, and an output unit. This device is designed to operate in a time division multiplexing mode, allowing for efficient processing of multiple input signals.

Career Highlights

Yunju Choi is affiliated with Seoul National University, where he continues to advance research in neural technologies. His work has garnered attention for its potential applications in artificial intelligence and machine learning.

Collaborations

He collaborates with notable colleagues, including Jaeha Kim and Seungheon Baek, contributing to a dynamic research environment that fosters innovation.

Conclusion

Yunju Choi's contributions to neural technology exemplify the intersection of innovation and practical application. His patents reflect a commitment to advancing the field and enhancing our understanding of neural networks.

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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