This inventor holds 1 USPTO granted patent. Top assignee: Beijing Baidu Netcom Science Technology Co., Ltd. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Juncai Peng: Innovator in Deep Learning Technologies
Introduction
Juncai Peng is a prominent inventor based in Beijing, China. He has made significant contributions to the field of deep learning through his innovative methods and technologies. His work focuses on enhancing data processing techniques for target models, which are crucial in various electronic devices.
Latest Patents
Juncai Peng holds 1 patent for his invention titled "Method of processing data for target model, electronic device, and storage medium." This patent relates to a method of processing data for a target model, which includes acquiring the target model that consists of at least one network layer. Each network layer contains multiple model parameters. The method involves dividing these parameters into groups and adjusting their data types to optimize the target model.
Career Highlights
Juncai Peng is currently employed at Beijing Baidu Netcom Science Technology Co., Ltd. His role at this leading technology company allows him to work on cutting-edge projects that push the boundaries of deep learning and artificial intelligence. His expertise in data processing has positioned him as a valuable asset in the tech industry.
Collaborations
Juncai has collaborated with notable colleagues, including Yujuan Cheng and Qiwen Liu. Their combined efforts contribute to the advancement of technologies in their field, fostering innovation and development.
Conclusion
Juncai Peng is a key figure in the realm of deep learning, with a focus on improving data processing methods. His contributions through patents and collaborations highlight his commitment to advancing technology. His work continues to influence the development of electronic devices and deep learning applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
