This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Sungkyunkwan University. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Innovations by Johnny Rhe in Memory Device Technology
Introduction
Johnny Rhe is an accomplished inventor based in Suwon, South Korea. He has made significant contributions to the field of memory devices, particularly in optimizing computations for convolution layers in deep neural networks. His innovative approach has the potential to enhance the efficiency of memory devices used in advanced computing applications.
Latest Patents
Johnny Rhe holds a patent for a "Memory device for optimizing computation of convolution layer, method for controlling memory device, and recording medium storing instruction to perform method for controlling memory device." This patent outlines a method for controlling a memory device that involves acquiring the size of a Processing In Memory (PIM) array, the size of input data, and the size of a kernel filtering the input data. The method aims to determine a size of a parallel window to minimize the number of cycles of the PIM array required for the convolution layer.
Career Highlights
Johnny Rhe is affiliated with Sungkyunkwan University, where he continues to engage in research and development in the field of memory technology. His work focuses on enhancing the performance of memory devices, which is crucial for the advancement of artificial intelligence and machine learning applications.
Collaborations
Johnny Rhe collaborates with notable colleagues, including Sung Min Moon and Jong Hwan Ko. Their combined expertise contributes to the innovative research being conducted at Sungkyunkwan University.
Conclusion
Johnny Rhe's contributions to memory device technology exemplify the importance of innovation in optimizing computational processes. His patent and ongoing research are paving the way for advancements in deep learning and artificial intelligence.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
