Suwon-si, South Korea

Jae-Eon Jo

USPTO Granted Patents = 5 

Average Co-Inventor Count = 4.9

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023-2025

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5 patents (USPTO):Explore Patents

Title: Jae-Eon Jo: Innovator in Deep Learning and Resource Allocation Technologies

Introduction

Jae-Eon Jo is a prominent inventor based in Suwon-si, South Korea. He has made significant contributions to the fields of deep learning and resource allocation technologies. With a total of 5 patents to his name, Jo continues to push the boundaries of innovation in his field.

Latest Patents

One of his latest patents is titled "Method and apparatus with deep learning operations with adder tree structure." This invention includes a systolic adder tree that consists of adder trees connected in both row and column directions. It also features an input multiplexer that is connected to an input register of at least one of the adder trees, which is designed to determine column directional data movement between the adder trees based on operation modes.

Another notable patent is "Computing device and method for allocating resources using cost matrix." This invention describes a computing device that includes multiple processing cores and a tile scheduler. The tile scheduler is configured to update a cost matrix for each processing core based on meta information from previously allocated tiles and to allocate new tiles using the updated cost matrix.

Career Highlights

Jae-Eon Jo is currently employed at Samsung Electronics Co., Ltd., where he applies his expertise in developing cutting-edge technologies. His work has been instrumental in advancing the capabilities of deep learning and resource management in computing devices.

Collaborations

Throughout his career, Jo has collaborated with notable colleagues, including Hanmin Park and Hyung-Dal Kwon. These collaborations have further enriched his work and contributed to the success of various projects.

Conclusion

Jae-Eon Jo is a distinguished inventor whose work in deep learning and resource allocation continues to impact the technology landscape. His innovative patents and contributions to Samsung Electronics Co., Ltd. highlight his commitment to advancing technology.

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