Seoul, South Korea

Jangsaeng Kim

USPTO Granted Patents = 3 

Average Co-Inventor Count = 4.1

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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3 patents (USPTO):Explore Patents

Title: Innovations of Jangsaeng Kim

Introduction

Jangsaeng Kim is a notable inventor based in Ulsan, South Korea. He has made significant contributions to the field of neuromorphic architecture, particularly through his innovative patent.

Latest Patents

Jangsaeng Kim holds a patent for an "On-chip training neuromorphic architecture." This neuromorphic system enables on-chip training and includes synapse arrays arranged in a cross-bar shape. It features a final neuron layer with a forward neuron and a backward neuron connected to an output terminal of the last synapse array. The architecture also comprises neuron layers that include a forward neuron, a backward neuron, and a memory for storing signals used during the weighted value update operation of a neural network. An error calculation circuit is included to detect and output an error value of a target signal and the output signal of the forward neuron of the final neuron layer. The conductances of the synapse devices represent the weighted values of the neural network and are modified through the weighted value update operation. Each synapse device is configured with a flash device, and the neuron layers are implemented with ultra-miniature devices.

Career Highlights

Jangsaeng Kim is affiliated with Seoul National University, where he continues to advance his research and innovations in neuromorphic systems. His work has garnered attention for its potential applications in artificial intelligence and machine learning.

Collaborations

He collaborates with notable colleagues, including Jong-Ho Lee and Dongseok Kwon, who contribute to his research endeavors and innovations.

Conclusion

Jangsaeng Kim's contributions to neuromorphic architecture highlight his role as an influential inventor in the field. His innovative patent demonstrates the potential for advancements in artificial intelligence and neural networks.

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