Suwon, South Korea

Jungho Kim

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Samsung Electronics Ltd.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jungho Kim. Retrieved from https://idiyas.com/inventor/jungho-kim-8bp1t515

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

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Jungho Kim: Inventor in Neural Network Computing

Introduction

Jungho Kim is an inventor based in Suwon, South Korea. His patent work concerns neural network computing systems and methods for executing neural network models. The available information lists one patent associated with him.

Latest Patents

Kim’s listed patent is “Neural Network Computing System and Method of Executing Neural Network Model.” It describes a system with a processor containing heterogeneous computing devices, memory for buffering model inputs and outputs, a memory controller, and a system bus.

The processor assigns a target execution time to each node in a neural network model based on the model’s target end-to-end execution time. It then adjusts the operating frequencies of computing devices, the memory controller, and the system bus according to each node’s target device, workload, and execution time. The system executes the model using those adjusted frequencies.

Career Highlights

Kim is associated with Samsung Electronics Ltd. His listed patent reflects work on coordinating computing resources to execute neural network models within targeted time constraints.

Collaborations

The provided information names Hyunjin Kim and Youngchan Cho as Kim’s coworkers. It does not specify whether they collaborated with him on the listed patent.

Conclusion

Jungho Kim’s listed invention focuses on managing heterogeneous hardware and operating frequencies to support the execution of neural network models.

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]
Loading…