Jae-Bok Park

Title: **Innovative Contributions of Jae-Bok Park in Neural Network Technology**

Introduction

Jae-Bok Park, an accomplished inventor based in Daejeon, South Korea, has made significant strides in the field of neural network technology. With a total of three patents to his name, Park is recognized for developing methods and apparatuses that enhance the efficiency and functionality of neural networks.

Latest Patents

Among his latest innovations, Park has patented an "Apparatus and Method for Generating Executable Image of Neural Network." This invention allows users to generate a neural network executable image tailored to their specific requirements. The apparatus checks the compatibility of the neural network model with the target system, converts the model into an executable format, and combines it with the necessary training result data to create a cohesive executable image.

Another notable patent is the "Apparatus and Method for Developing Neural Network Applications." This invention is designed to streamline the development process of neural network applications. It includes advanced functionalities such as searching a database for an appropriate neural network model, building an inference engine, and generating the target image needed for execution on specific devices.

Career Highlights

Jae-Bok Park is affiliated with the Electronics and Telecommunications Research Institute (ETRI), a leading research organization in South Korea. His work has been pivotal in advancing neural network applications, thereby contributing to the broader landscape of artificial intelligence and machine learning.

Collaborations

Throughout his career, Park has collaborated with notable colleagues such as Chang-Sik Cho and Kyung-Hee Lee. These partnerships have fostered a collaborative environment that encourages innovation and the sharing of ideas within the technology community.

Conclusion

In conclusion, Jae-Bok Park stands out as a prolific innovator in the realm of neural networks. His inventions not only showcase his expertise but also reflect the ongoing evolution within the technology sector. As he continues to push the boundaries of what is possible with neural networks, his contributions are sure to influence future advancements in the field.