This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Yonsei University. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Taesoo Lim: Innovator in Deep Neural Network Acceleration
Introduction
Taesoo Lim is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of data processing through his innovative work on deep neural networks. His expertise and dedication to advancing technology have led to the development of a unique patent that optimizes data processing methods.
Latest Patents
Taesoo Lim holds a patent for a "Deep neural network accelerator for optimized data processing, and control method of the deep neural network accelerator." This patent provides a control method for a deep neural network (DNN) accelerator aimed at enhancing data processing efficiency. The method involves calculating offsets for data tiles, identifying data types, and updating neural network data between memory levels, thereby streamlining the processing of neural network data.
Career Highlights
Taesoo Lim is affiliated with Yonsei University, where he contributes to research and development in the field of neural networks. His work is characterized by a strong focus on optimizing data processing techniques, which are crucial for the advancement of artificial intelligence and machine learning applications.
Collaborations
He collaborates with notable colleagues, including William Jinho Song and Bogil Kim, who share his passion for innovation in technology. Their combined efforts contribute to the ongoing research and development in the field of deep learning and data processing.
Conclusion
Taesoo Lim's contributions to the field of deep neural networks exemplify the impact of innovative thinking in technology. His patent and collaborative efforts at Yonsei University highlight the importance of optimizing data processing methods in advancing artificial intelligence.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
